向月-四川大学电气工程学院

教授/博士生导师/硕士生导师

四川大学智能电网优化运行与电力市场运营研究团队

研究方向：分布式资源聚合调控、新型配电系统规划与运行、电动汽车入网、低碳能源市场化数智化

Email：xiang@scu.edu.cn

学习和工作简历

2023/09-至今，四川大学，电气工程系，教授

2019/09-2020/09，英国帝国理工学院，客座研究员

2018/09-2023/08，四川大学，电气工程系，副教授

2018/07-2018/08，德国克劳斯塔尔工业大学，访问学者

2016/07-2018/08，四川大学，电气工程系，特聘副研究员

2010/09-2016/06，四川大学，电力系统及其自动化，博士

2015/06-2015/09，英国巴斯大学，访学博士

2013/09-2014/09，美国田纳西大学，联合培养博士

2006/09-2010/06，四川大学，电气工程及其自动化，本科

代表性论文与学术报告

【期刊论文】

2026

[1] Yue Xiang(*), et al. Adaptive hierarchical learning for uncertainty-aware distributed energy resource planning[J].Communications Engineering, 2026, 5: 40.

[2] Yue Xiang, et al. A dynamic meteorological correlation-integrated hybrid method for photovoltaic output forecasting[J]. Renewable Energy, 2026, 256: 124561.

[3] Jianshu Zhou, Yue Xiang(*), et al. Learning to predictive scheduling for orderly charging of electric vehicles in renewable energy charging stations[J]. Renewable Energy, 2026, 256: 124332.

[4] Jianping Yang, Yue Xiang(*), et al. Closed-loop corrective EV demand response with composite customer directrix load for renewable energy comsumption[J]. Renewable Energy, 2026, 256: 124403.

[5] Zhenhua Yang, Yue Xiang(*), et al. Determining time- and region- specific electricity carbon emission factors with dynamic spatial zoning [J]. Journal of Cleaner Production, 2026.

[6] Xixi Gong, Yue Xiang(*), et al. Graphic criteria for hosting capability assessment of PV-EV-ESS in distribution networks [J]. Applied Energy, 2026, 423:128332.
[7] Kaiwen Shao, Yue Xiang(*), et al. LLM-empowered multi-agent intelligent planning for PV-EV penetrated distribution networks [J]. Applied Energy, 2026, 423: 128280.

[8] Jianshu Zhou, Yue Xiang, et al. A hybrid attention-based Seq2Seq framework for EV charging load forecasting integrating meteorological factors and price elasticity[J]. Applied Energy, 2026, in press.

[9] Zhiming Lu, Yue Xiang(*), et al. Two-stage scheduling of EV aggregators in electricity markets considering renewable energy accommodation [J]. CSEE Journal of Power and Energy Systems, in press.

[10] Bingda Li, Yue Xiang(*), et al. Electric vehicle charging load forecasting with demand response：a two-stage decomposition framework [J]. CSEE Journal of Power and Energy Systems, in press.

[11] Yunjie Yang, Yue Xiang (*),et al. Enhancing wind power forecasting via multi-farm coupling under data isolation: A physics-guided personalized federated approach[J]. Sustainability, in press.

[12] Yicheng Li, Yue Xiang(*), et al. Deep Q-network based optimal charging coordination of electric vehicles considering vehicle-to-grid technology [J]. Electricity, 2026, 7, 44.

[13] Zhengbo Li, Haolan Yang, Youbo Liu, Yue Xiang, et al. OptDisPro: LLM-based multi-agent framework for fexibly adapting heuristic optimal disFlow[J]. IEEE Transactions on Smart Grid, 2026, 17(1): 794-805.

[14] Yingyu Zhou, Zhenyu Huang, Yue Xiang, et al. Incentive V2G pricing considering the opportunity cost irrational perception distortion of ride-hailing vehicles[J]. International Journal of Electrical Power and Energy Systems, 2026, 177, 111776.

[15] Zhiyuan Tang, Dongjian Li, Yue Xiang, et al., Distributed safe frequency control for networked microgrids using control barrier functions [J]. IEEE Transactions on Smart Grid, 2026, 17(4): 3621 - 3624.

[16] Zhengbo Li, Youbo Liu, Haolan Yang, Yue Xiang, et al. Image recognition-based PV hosting capacity enhancement via distribution network retrofit[J]. Renewable Energy, 2026, 257: 124750.

[17] Zhiyuan Tang, Youbo Liu, Wenjie Xiong, Yue Xiang, et al. Distributed data-driven approach for robust voltage regulation in active distribution networks with switching topologies[J]. Electric Power Systems Research, 2026, 265: 114035.

[18] Haolan Yang, Zhengbo Li, Youbo Liu, Yue Xiang, et al. LLM-powered distributed optimal scheduling for industrial heat-electricity micro-grids[J]. IEEE Transactions on Industry Applications, 2026, 62(2): 1874-1885.

[19] Quanquan Zhang, Mingyu Yang, Guanxi Sun, Yue Xiang, et al. Representation learning accelerates the development of models for Li-ion battery health diagnostics and prognostics[J]. Energy Storage Materials, 2026, 86: 104897.

[20] Jing Huang, Kai Liao, Chenjia Gu, Jianwei Yang, Yue Xiang, et al., Enhancing power distribution system resilience through insurance mechanisms: an insurer optimization approach with V2G aggregator participation [J]. IEEE Transactions on Smart Grid, in press.

[21] Yuhuang Su, Xiaoyu Hu, Ziyi Wang, Cao Wen, Tianwen Zheng, Wei Wei, Chun Zhang, Wangchao Dong, Huailei Cui, Yue Xiang. Multi-Agent reinforcement learning for optimal operation of PV-ESS-EV microgrids [J]. Smart Energy System Reseach, 2026, 2(2), 10008.

[22] 向月, 等. 人工智能驱动的配电系统规划辅助增强方法研究综述[J].中国科学技术科学, 2026, 56(1): 55-78.

[23] 龚烯烯, 向月(*), 等. 基于电压‑有功映射的中低压配电网运行域建模方法[J].工程科学与技术, 2026.

[24] 刘玺淳, 向月(*), 等. 考虑工作负载时空协同的数据中心集群可调度潜力评估与优化运行[J].工程科学与技术, 2026.

[25] 杨振华, 向月(*). 考虑储能碳时移与绿电交易的终端分时电碳因子计算方法[J].工程科学与技术, 2026.

[26] 谢元龙, 向月(*), 等. 基于动态标尺竞争的园区低碳化发展路径综合评价方法[J].工程科学与技术, 2026.

[27] 倪方圆, 郭静蓉, 向月(*), 等. 计及可再生能源消纳的电动汽车聚合商多市场混合博弈交易策略[J].中国电机工程学报, 2026, 46(16) : 5711-5724.

[28] 翟润如, 唐志远, 曹洲豪, 刘友波, 向月, 等. 考虑电动汽车充放电控制的微电网优化调度方法[J].电力建设, 2026, 47 (06): 98-110.

[29] 王世谦, 华远鹏, 李秋燕, 刘博, 杨建平, 向月. 考虑多场景车网互动的充电站投标运营策略[J].中国电力, 2026, 59(3): 64-73.

[30] 成涛, 杨芾藜, 苏宇, 杨振华, 向月. 计及未上网电量的多层级碳排放因子修正方法[J].中国电力, 2026, 59(3): 27-36.

[31] 刘诗懿, 朱刚毅, 胡捷添, 李明莉, 周映宇, 向月, 等. 基于信息缺口决策理论的车网互动聚合商日前定价策略[J].电测与仪表, 2026, 63(5): 79-90.

2025

[1] Yue Xiang(*), et al. Large language model for secure operation of power systems[J]. Smart Energy System Research, 2025, 1(1): 10005.

[2] Haotian Yao, Yue Xiang(*), et al. Optimal planning of distribution systems and charging stations considering PV-grid-EV transaction[J]. IEEE Transactions on Smart Grid, 2025, 16(1): 691-703.

[3] Yongtao Guo, Yue Xiang(*), et al. Competitive evaluation and multistage planning of park integrated energy systems[J]. Scientific Reports, 2025, 15: 8660.

[4] Jiakun Dai, Yue Xiang(*), et al. Virtual P2P transaction integrated expansion planning of distribution networks[J]. CSEE Journal of Power and Energy Systems, 2025, 11(5): 2094-2101.

[5] Huangqi Ma, Yue Xiang(*), et al. Optimal peer-to-peer coupled electricity and carbon trading in distribution networks[J]. Engineering, 2026, 51: 37-48.

[6] Fangyuan Ni, Yue Xiang(*), et al. Charging management of electric vehicles with consumption of renewable energy[J]. Energy, 2025, 321: 135264.

[7] Zhongping Li, Yue Xiang(*), et al. Forecasting error-aware optimal dispatch of wind-storage integrated power systems: a soft-actor-critic deep reinforcement learning approach[J]. Energy, 2025, 318: 134798.

[8] Yongtao Guo, Yue Xiang(*), et al. Flexibility-enhancing planning for PV penetrated distribution networks[J]. Renewable Energy, 2025, 253: 123582.

[9] Thomas Tongxing Li, Alexis Pengfei Zhao, Yuchuan Wang, Shuangqi Li, Jiaqiang Fei, Zhaoyu Wang, Yue Xiang(*). Integrating solar-powered electric vehicles into sustainable energy systems[J]. Nature Reviews Electrical Engineering, 2025, 2: 467-479.

[10] Feng Ren, Yue Xiang, et al. Strategic PV electricity bidding in spot markets under forecast uncertainty[J]. CSEE Journal of Power and Energy Systems, 2025, 11(6): 2652-2658.

[11] Zhengbo Li, Youbo Liu, Yue Xiang, et al. Reliability-centered planning with geographic graph constraints for feeder routing and conductor sizing[J]. Journal of Modern Power Systems and Clean Energy, 2025, 13(6): 2074-2085.

[12] Yuyan Yang, Xiao Xu, Yichen Luo, Youbo Liu, Yue Xiang, et al. Enhancing resilience of urban distribution networks: integrating agent-based V2G response model for extreme event restoration [J]. IEEE Transactions on Transportation Electrification, 2025, 11(5): 12342-12356.

[13] Shiqian Wang, Bo Liu, Yuanpeng Hua, Qiuyan Li, Binhua Tang, Jianshu Zhou, Yue Xiang. Dispatchable capability of aggregated electric vehicle charging in distribution systems[J]. Energy Engineering, 2025, 122(1): 129-152.

[14] Alexis Pengfei Zhao, Shuangqi Li, Zhengmao Li, Zhaoyu Wang, Zechun Hu, Mohannad Alhazmi, Xiaohe Yan, Chenye Wu, Shuai Lu, Yue Xiang, et al. Electric vehicle charging planning: a complex systems perspective[J] IEEE Transactions on Smart Grid, 2025, 16(1): 754-772.

[15] 周健树, 向月(*), 等. 基于深度强化学习的高速公路服务区新能源充电站两阶段优化调控策略[J].中国电机工程学报, 2025, 45(11): 4130-4143.

[16] 向世林, 向月(*), 等. 计及负载响应特性的多数据中心时空协同运行优化策略[J].中国电力, 2025, 58(4): 170-181.

[17] 李钟平, 向月(*), 等. 深度强化学习驱动的风储系统参与能量-调频市场竞价策略[J].电力工程技术, 2025, 44(3):30-42.

[18] 娄奇鹤, 李彦斌, 刘子上, 向月, 等. 新型电力系统构建场景下电网功能化投资结构演进趋势研究[J].中国电力, 2025, 58(7): 207-216.

[19] 陈鹏, 刘友波, 袁川, 唐冬来, 向月, 等.考虑电动汽车充电模式的配电网可开放容量提升改造策略[J].电网技术, 2025, 49(1):177-186.

2024

[1] Yue Xiang, et al. Optimal planning of distribution network with transactive energy: review and framework[J]. IET Smart Grid, 2024, 7: 120-129.

[2] Yue Xiang, et al. A carbon emission allowance bargaining model for energy transactions among prosumers[J]. IEEE Transactions on Power Systems, 2024, 39(4): 6095-6098.

[3] Yue Xiang, et al. A multi-factor spatio-temporal correlation analysis method for PV generation estimation[J]. Renewable Energy, 2024, 223, 119962.

[4] Yue Xiang, et al. Distributionally robust expansion planning of electric vehicle charging system and distribution networks[J]. CSEE Journal of Power and Energy Systems, 2024, 10(6): 2457-2469.

[5] Yue Xiang, et al. Design flexible renewable energy penetrated power system to address long-run and short-run interactive inference[J]. The Innovation Energy, 2024, 1(3), 100042.

[6] Haotian Yao, Yue Xiang(*), et al. Peer-to-peer coupled trading of energy and carbon emission allowance: a stochastic game-theoretic approach[J]. IEEE Internet of Things Journal, 2024, 11(14): 24364-24375.

[7] Haotian Yao, Yue Xiang(*), et al. Virtual prosumers’ P2P transaction based distribution network expansion planning[J]. IEEE Transactions on Power Systems, 2024, 39(1): 1044-1057.

[8] Jianping Yang, Yue Xiang(*). Deep transfer learning based surrogate modeling for optimal investment decision of distribution networks[J]. IEEE Transactions on Power Systems, 2024, 39(2): 2506-2516.

[9] Jianping Yang, Yue Xiang(*). A virtual graph constrained learning method for power flow calculation[J]. IEEE Transactions on Power Systems, 2024, 39(5): 6784 - 6787.

[10] Huangqi Ma, Yue Xiang(*), et al. Optimal peer-to-peer energy transaction of distributed prosumers in high-penetrated renewable distribution systems[J]. IEEE Transactions on Industry Applications, 2024, 60(30): 4622-4632.

[11] Lizhong Zhang, Yue Xiang(*), et al. Optimal investment of distribution energy resources via energy performance contracts: an evolutionary game approach[J]. Renewable Energy, 2024, 234, 121241.

[12] Guiping Qing, Yue Xiang(*), et al. Carbon footprint evaluation for electric vehicles considering green electricity trading[J]. Renewable Energy, 2024, 237, 121510.

[13] Jianshu Zhou, Yue Xiang(*), et al. Optimal self-consumption scheduling of highway electric vehicle charging station based on multi-agent deep reinforcement learning[J]. Renewable Energy, 2024, 237, 121982.

[14] Lingtao Li, Yue Xiang(*), et al. CO2 emission coupled power generation mix evolution with flexible energy resources[J]. IET Smart Grid, 2024, 7: 142-156.

[15] Liangbin Xie, Yue Xiang(*), et al. Optimal planning of energy storage in distribution feeders considering economy and reliability[J]. Energy Technology, 2024, 12(7), 2400200.

[16] Shuangqi Li, Pengfei Zhao, Chenghong Gu, Yue Xiang, et al. Factoring electrochemical and full-lifecycle aging modes of battery participating in energy and transportation systems[J]. IEEE Transactions on Smart Grid, 2024, 15(5): 4932-4945.

[17] Yuqian Cao, Xiao Xu, Yichen Luo, Yue Xiang, et al. Human-safe based electric vehicle evacuation in transportation-power networks during emergencies: a two-stage response framework[J]. International Journal of Disaster Risk Reduction, 2024, 114, 104986.

[18] Junyi Tao, Ran Li, Sijie Chen, Hui Qu, Yue Xiang. Reverse impact of capacity markets for a renewable-dominated power system[J]. Applied Energy, 2024, 375, 124154.

[19] Junlong Li, Lurui Fang, Xiangyu Wei, Mengqiu Fang, Yue Xiang, et al. Short-term load forecasting facilitated by edge data centres: a coordinated edge-cloud approach[J]. IET Smart Grid, 2024, 7(6):829-842.

[20] Junlong Li, Chenghong Gu, Lurui Fang, Xiangyu Wei, Yuanbin Zhu, Yue Xiang. A spatio-temporal reallocation method for energy management in edge data centres[J]. CSEE Journal of Power and Energy Systems, 2024, 10(5): 1901-1910.

[21] Dongchuan Fan, Youbo Liu, Xiao Xu, Xiao Shao, Xiaoyun Deng, Yue Xiang, et al. Economic operation of an agent-based virtual storage aggregated residential electric-heating loads in multiple electricity markets[J]. Journal of Cleaner Production, 2024, 452: 142112.

[22] Alexis Pengfei Zhao, Shuangqi Li, Da Xie, Paul Jen-Hwa Hu, Chenye Wu, Faith Xue Fei, Thomas Tongxin Li, Yue Xiang, et al. Extreme events threat water-energy-carbon nexus through cascading effects[J]. Next Energy, 2024, 5, 100151.

[23] Li Deng, Jiafei Huan, Wei Wang, Weitao Zhang, Liangbin Xie, Lun Dong, Jingrong Guo, Zhongping Li, Yuan Huang, Yue Xiang. Market operation of energy storage system in smart grid: a review[J]. Energy Engineering, 2024, 121(6): 1403-1437.

[24] 刘祎泽, 向月(*). 计及负荷转移需求响应的低碳数据中心光储容量优化配置[J].电力自动化设备, 2024, 44(7):149-155.

[25] 唐清苇, 向月(*), 等. 基于CNN-LSTM的风电场发电功率迁移预测方法[J].工程科学与技术, 2024, 56(2): 91-99.

[26] 解良彬, 向月(*), 等. 计及经济性与可靠性的台区储能优化配置研究[J]. 电力工程技术, 2024, 43(4): 56-66.

[27] 谢涵铮, 刘友波, 马超, 殷科, 向月, 等.计及参与成本贡献的用户侧云储能服务及其纳什议价模型[J].电力自动化设备, 2024, 44(2): 9-17.

[28] 李沛霖, 刘友波, 廖红兵, 许立雄, 许潇, 向月, 刘俊勇.面向极端事件的配电网差异化韧性供电服务及其定价方法[J].电网技术, 2024, 48(10):4074-4086.

2023

[1] Yue Xiang, et al. Deep reinforcement learning based topology-aware voltage regulation of distribution networks with distributed energy storage[J]. Applied Energy, 2023, 332: 120510.

[2] Yue Xiang, et al. Autonomous topology planning for distribution network expansion: a learning-based decoupled optimization method[J]. Applied Energy, 2023, 348: 121522.

[3] Yue Xiang, et al. Distributed dispatch of multiple energy systems considering carbon trading[J]. CSEE Journal of Power and Energy Systems, 2023, 9(2): 459-469.

[5] Yue Xiang, et al. Multi-objective investment evaluation for low-carbon power system evolution based on system dynamics[J]. Electric Power Systems Research, 2023, 224: 109781.

[4] Junlong Li, Yue Xiang(*), et al. Formulation of locational marginal electricity-carbon price in power systems[J]. CSEE Journal of Power and Energy Systems, 2023, 9(5): 1968-1972.

[8] Yu Lu, Yue Xiang(*), et al. Deep reinforcement learning based optimal scheduling of active distribution system considering distributed generation, energy storage and flexible load [J]. Energy, 2023, 271: 127087.

[9] Zirui Xi, Yue Xiang(*), et al. Hosting capability assessment and enhancement of electric vehicles in electricity distribution networks [J]. Journal of Cleaner Production, 2023, 398: 136638.

[10] Yanliang Wang, Yue Xiang(*), et al. Service-quality based charging pricing for electric vehicles in smart energy communities[J]. Journal of Cleaner Production, 2023, 420: 13846.

[12] Wenxule Chen, Yue Xiang(*), et al. Optimal operation of virtual power plants with shared energy storage[J]. IET Smart Grid, 2023, 6(2): 147-157.

[13] Jingxian Yang, Jichun Liu, Yue Xiang(*), et al. Data-driven optimal dynamic dispatch for hydro-PV-PHS integrated power system using deep reinforcemenet learning[J]. CSEE Journal of Power and Energy Systems, 2023, 9(3): 846-858.

[14] Gang Wu(*), Ting Li, Weiting Xu, Yue Xiang(*), et al. Chance-constrained energy-reserve co-optimization scheduling of wind-photovoltaic-hydrogen energy systems[J]. International Journal of Hydrogen Energy, 2023, 48(19): 6892-6905.

[15] Zihao Li, Wei Sun, Yue Xiang, et al. A transfer strategy for power output estimation of wind farm at planning stage based on SVR model [J]. CSEE Journal of Power and Energy Systems, 2023, 9(4): 1460-1471.

[16] Junlong Li, Chenghong Gu, Xiangyu Wei, Ignacio Hernando-Gil, Yue Xiang. An IoT-based thermal modelling of dwelling rooms to enable flexible energy management[J]. IEEE Transactions on Smart Grid, 2023, 14(5): 3550-3560.

[17] Zhenbo Wei, Pingan Wei, Chiyao Chen, Hongjun Gao, Zihang Luo, Yue Xiang(*). Two-stage stochastic decentralized low-carbon economic dispatch of integrated electricity-gas networks. [J] Energy, 2023, 282: 128325.

[18] Pengfei Zhao, Shuangqi Li, Paul Jen-Hwa Hu, Chenghong Gu, Zhidong Cao, Yue Xiang. Managing water-energy-carbon nexus for urban areas with ambiguous moment information [J]. IEEE Transactions on Power Systems, 2023, 38(5):4432-4446.

[19] Siyuan Guo, Bin Zhou, Yun Yang, Qiuwei Wu, Yue Xiang, et al. Multi-source ensemble learning with acoustic spectrum analysis for fault perception of direct-buried transformer substations [J]. IEEE Transactions on Industry Application, 2023, 59(2): 2340-2351.

[20] Huawei Chao, Gang Wu, Ting Li, Weiting Xu, Jiakun Dai, Yue Xiang. A development potential assessment method for clean energy stations[J]. Frontiers in Energy Research, 2023, 10: 976716.

[21] Pengfei Zhao, Shuangqi Li, Paul Jen-Hwa Hu, Chenghong Gu, Shuai Lu, Shixing Ding, Zhidong Cao, Da Xie, Yue Xiang. Blockchain-based water-energy transactive management with spatial-temporal uncertainties[J]. IEEE Transactions on Smart Grid, 2023, 14(4): 2903-2920.

[22] 郭静蓉，向月(*), 等. 考虑CCUS电转气技术及碳市场价格风险的电-气综合能源系统优化调度[J]中国电机工程学报, 2023, 43(4):1290-1303.

[23] 代佳琨，向月(*)，等. 虚拟电能交易驱动的光储聚合商容量优化配置[J]工程科学与技术, 2023, 55(2):152-159.

[24] 汪顺其，向月(*), 等.考虑临时驻车充放电管理的电动汽车配送路径规划方法[J]电力自动化设备, 2023, 43(07):94-101.

[25] 郭咏涛，向月(*), 等.面向高比例清洁能源消纳的含灵活性资源电力系统规划方案优选[J]上海交通大学学报, 2023, 57(9): 1146-1155.

[26] 卢宇，向月(*)，等. 新型配电系统分布式源网荷储资源广域电压自趋优管控方法[J]四川电力, 2023, 46(3):1-8.

[27] 代佳琨，向月(*)，等. 基于数字孪生的区域气象关联风电预测模型[J]四川电力, 2023, 46(2): 32-38.

[28] 蒋棹骏，向月，谈竹奎等.计及需求响应的高比例清洁能源园区储能容量优化配置[J].中国电力, 2023, 56(12): 147-155+163.

[29] 颜宇飞，唐早，刘友波，王淼，向月, 等. 双重不确定性下考虑风险偏好的风储系统日前报量策略[J]电网技术, 2023, 47(3): 1078-1088.

[30] 吴浩，齐放，张曦，刘友波，向月, 等. 基于小波包分解与最小二乘支持向量机的用户侧净负荷预测[J]现代电力, 2023, 40(2): 192-200.

[31] 张翰林，汪睿哲，刘友波，袁川，向月，刘俊勇. 考虑源荷碳势耦合的电力系统双层低碳经济调度[J]. 电力建设, 2023, 44(12): 28-42.

[32] 张沈习，王浩宇，李然，程浩忠，方一晨，李珂，王旭，向月. 考虑智能软开关接入的主动配电网扩展规划方法[J]中国电机工程学报, 2023, 43(1): 48-60.

2022

[1] Yue Xiang, et al. Routing optimization of electric vehicles for charging with event-driven pricing strategy [J]. IEEE Transactions on Automation Science and Engineering, 2022, 19(1): 7-20.

[2] Yue Xiang, et al. Low-carbon economic planning of integrated electricity-gas energy systems[J]. Energy, 2022, 249: 123755.

[3] Xiangyu Wei, Yue Xiang(*), et al. Self-dispatch of wind-storage integrated system: a deep reinforcement learning approach[J]. IEEE Transactions on Sustainable Energy, 2022, 13(3): 1861-1864.

[4] Jiang Huang, Yue Xiang(*), et al. Resilience assessment of hydrogen integrated multi-energy systems for airport electrification [J]. IEEE Transactions on Industry Application, 2022, 58(2): 2812-2824.

[5] Haotian Yao, Yue Xiang(*), et al. Optimal prosumers’ peer-to-peer energy trading and scheduling in distribution networks [J]. IEEE Transactions on Industry Application, 2022, 58(2): 1466-1477.

[6] Bohan Xu, Yue Xiang(*), et al. Var-voltage control capability constrained economic scheduling of integrated energy systems[J]. IEEE Transactions on Industry Application, 2022, 58(6): 6899-6908.

[7] Mengqiu Fang, Yue Xiang (*). Data-driven load pattern identification based on R-vine copula and random forest method[J]. IEEE Transactions on Industry Application, 2022, 58(6): 7919-7929.

[8] Haotian Yao, Yue Xiang(*), et al. Exploring multiple investment strategies for non-utility-owned DGs: a decentralized risked-based approach[J]. Applied Energy, 2022, 326: 119936.

[9] Yongtao Guo, Yue Xiang (*). Low-carbon strategic planning of integrated energy systems[J]. Frontiers in Energy Research, 2022, 10: 66-71.

[10] Xiaodong Shen, Houxiang Zhao, Yue Xiang(*), et al. Short-term electric vehicles charging load forecasting based on deep learning in low-quality data environments[J]. Electric Power Systems Research, 2022, 212: 108247.

[11] Shuai Zhang, Yue Xiang, et al. A regulating capacity determination method for pumped storage hydropower to restrain PV generation fluctuation[J]. CSEE Journal of Power and Energy Systems, 2022, 8(1): 304-316.

[12] Yichen Shen, Chenghong Gu, Yue Xiang, et al. Dynamic service restoration for integrated energy systems under seismic stress [J]. IEEE Transactions on Sustainable Energy, 2022, 13(1): 527-536.

[13] Junlong Li, Chenghong Gu, Yue Xiang, et al. Edge-cloud computing systems for smart grid: state-of-the-art, architecture and applications[J]. Journal of Modern Power Systems and Clean Energy, 2022, 10(4): 805-817.

[14] Yuhang Ma, Yuan Huang, Gang Wu, Junyong Liu, Yang Liu, Yue Xiang, et al. Decentralized monthly generation scheduling of cascade hydropower plants in multiple time scale markets [J]. International Journal of Electrical Power and Energy Systems, 2022, 135: 107420.

[15] Pengfei Zhao, Zhidong Cao, Dajun Zeng, Chenghong Gu, Zhaoyu Wang, Yue Xiang, et al. Cyber-resilient multi-energy management for complex systems [J]. IEEE Transactions on Industrial Informatics, 2022, 18(3): 2144-2159.

[16] 杨建平，向月(*), 等. 面向配电网投资决策的小样本关联规则自适应迁移学习方法[J]中国电机工程学报，2022, 42(16): 5823-5834.

[17] 王敏，向月(*)，等. 计及V2G价格激励的电动汽车削峰协同调度策略[J]电力自动化设备，2022, 42(4): 27-33.

[18] 任峰，向月(*)，等. 辅助负荷削峰的电动出租车V2G协同策略与效益分析[J]电力自动化设备，2022，42(2):63-69.

[19] 周椿奇，向月(*)，等. 轨迹数据驱动的电动汽车充电需求及V2G可调控容量估计[J]电力系统自动化，2022, 46(12): 46-55.

[20] 王晏亮，向月(*)，等. 计及天然气管网压力能消纳的电动汽车换电池集中充电-配送策略[J]电力自动化设备，2022, 42(10): 167-176.

[21] 周润，向月(*)，等. 基于智能电表集总数据的家庭电动汽车充电行为非侵入式辨识与负荷预测[J]电网技术，2022，46 (5): 1897-1906.

[22] 周立立，向月(*)，等.差异化市场下储能运营风险效益评估[J]太阳能学报，2022, 43(3): 111-118.

[23] 彭光博，向月(*), 等. 双碳目标下电力系统风电装机与投资发展动力学推演与分析[J]电力自动化设备，2022, 42(11): 70-77.

[24] 徐博涵，向月(*)，等. 基于深度强化学习的含高比例可再生能源配电网就地分散式电压管控方法[J]电力系统保护与控制，2022, 50(22): 100-110.

[25] 王敏，向月(*)，等. 城市充电服务网多维评估指标体系与方法[J]全球能源互联网，2022，5(3):261-270.

[26] 任峰，向月. 基于GPS数据的电动出租车充电桩选址定容研究[J]电力自动化设备，2022，42(10): 273-279.

[27] 饶萍，向月，等.市场环境下配电网分布式光储协同规划[J]中国电力，2022，55(1):178-188.

[28] 李争博，刘友波，任鹏哲，向月，等.考虑地理信息聚类分区的配电网多阶段动态规划方法[J]电力系统自动化，2022, 46(14): 38-45.

[29]杨瑞琳，李可然，刘俊勇，刘继春，向月.考虑储能参与备用配置的园区综合能源系统日前经济调度模型[J].电力建设，2022，43(12):103-111.

[30] 王泽祺，刘友波，任鹏哲，付云琦，李健，于汀，向月，刘俊勇. 配电网精准投资理论与关键技术综述[J]电网技术，2022, 46(7): 2665-2678.

2021

[1] Yue Xiang, et al. Charging load pattern extraction for residential electric vehicles: a training-free non-intrusive method[J]. IEEE Transactions on Industrial Informatics, 2021, 17(10): 7028-7039.

[2] Yue Xiang, et al. Techno-economic design of energy systems for airport electrification: a hydrogen-solar-storage integrated microgrid solution [J]. Applied Energy, 2021, 283: 116374.

[3] Yue Xiang, et al. An improved fuzzy method for characterizing wind power [J]. Journal of Modern Power Systems and Clean Energy, 2021, 9(2): 459-462.

[4] Yue Xiang, et al. Reactive coordinated optimal operation of distributed wind generation [J]. Energy, 2021, 218: 119417.

[5] Yue Xiang, et al. Low-carbon economic dispatch of electricity-gas systems[J]. Energy, 2021, 226: 120267.

[6] Shijie Chen, Yue Xiang(*), et al. Evaluating connectable capacity of distributed wind generation in distribution networks through a Bayesian integrated optimization method[J]. IEEE Systems Journal, 2021, 15(2): 2744-2754.

[7] Shuai Hu, Yue Xiang(*), et al. Hybrid forecasting method for wind power integrating spatial correlation and corrected numerical weather prediction[J]. Applied Energy, 2021, 293: 116951.

[8] Shuai Hu, Yue Xiang(*), et al. An improved deep belief network based hybrid forecasting method for wind power[J]. Energy, 2021, 224: 120185.

[9] Shuai Hu, Yue Xiang(*), et al. A two-stage dispatching method for a wind-hydropower-pumped storage integrated power system[J]. Frontiers in Energy Research, 2021, 9: 646975.

[10] Jianping Yang, Yue Xiang(*), et al. Optimal investment decision of distribution network with investment ability and project correlation constraints [J]. Frontiers in Energy Research, 2021, 9: 728834.

[11] Ping Xue, Yue Xiang(*), et al. Impacts of large-scale mobile electric vehicles charging in smart grids: from a reliability perspective[J]. Frontiers in Energy Research, 2021, 9: 688034.

[12] Xinran Yang, Yue Xiang (*), et al. Application of system dynamics approach in scale evolution of electric vehicles for education [J]. International Journal of Electrical Engineering & Education, 2021, 58(2): 306-318.

[13] Zeming Li, Junyong Liu, Yue Xiang (*), et al. Agricultural load modeling based on crop evapotranspiration and light integration for economic operation of greenhouse power system[J]. CSEE Journal of Power and Energy Systems, 2021, 7(5): 1113-1121.

[14] Jichun Liu, Xue Chen, Yue Xiang (*), et al. Optimal planning and investment benefit analysis of shared energy storage for electricity retailers [J]. International Journal of Electrical Power and Energy Systems, 2021, 126: 106561.

[15] Pengfei Zhao, Chenghong Gu, Yue Xiang, et al. Reactive power optimization in integrated electricity and gas systems [J]. IEEE Systems Journal, 2021, 15(2): 2744-2754.

[16] Zihao Li, Wei Sun, Yue Xiang, et al. Arranging university semester date to minimize annual CO₂ emission: a UK university case study [J].iScience, 2021, 24: 103414.

[17] Pengfei Zhao, Chenghong Gu, Zhidong Cao, Qian Ai, Yue Xiang, et al. Water-energy nexus management for power systems [J]. IEEE Transactions on Power Systems, 2021, 36(3): 2542-2554.

[18] Liang Zhao, Junbo Zhao, Yingchen Zhang, Lixiong Xu, Yue Xiang, Junyong Liu. Robust PCA-deep belief network surrogate model for distribution system topology identification with DERs[J]. International Journal of Electrical Power and Energy Systems, 2021, 125: 106441.

[19] 孟锦鹏，向月(*)，等. 面向可靠性提升的电动汽车充电基础设施协同优化规划[J]电力自动化设备，2021，41(6): 36-44。

[20] 赵黄江，向月(*)，等. 基于改进配电网安全域的规模化电动汽车入网影响分析[J]电力自动化设备，2021, 41(11): 66-73。

[21] 周椿奇，向月(*)，等. V2G辅助服务调节潜力与经济性分析：以上海地区为例[J]电力自动化设备，2021, 41(8): 135-141。

[22] 胡帅，向月(*)，等. 计及气象因素和风速空间相关性的风功率预测模型[J]电力系统自动化，2021, 45(7): 28-34。

[23] 姚昊天，向月(*)，等. 基于过网费动态更新的分布式电源多主体协同规划方法[J]电力系统自动化，2021, 45(17): 70-78。

[24] 魏翔宇，向月(*)，等. 考虑台风影响的风速多步预测模型[J]电力系统自动化，2021, 45(14): 30-37。

[25] 陈文淑乐，向月(*)，等. 双碳目标下电力系统供给侧形态发展系统动力学建模与分析[J]上海交通大学学报，2021, 55(12): 31-40。

[26] 邓润琦，向月(*)，等. 交通-配电网耦合下电动汽车集群可调控裕度及优化运行策略研究[J]电网技术，2021, 45(11):4328-4335。

[27] 周椿奇，向月(*)，等. 清洁能源发展场景下电动汽车入网对区域碳排放轨迹的系统动力学建模与分析[J]电力科学与技术学报，2021, 36(3): 36-45。

[28] 刘继春，陈雪，向月(*)，等. 考虑用电形态相似度的多用户共享储能投资决策[J]全球能源互联网，2021，4(1): 95-104。

[29] 周立立，向月，等. 基于风险-收益分析的用户侧储能容量经济配置研究[J]中国电力，2021, 54(9): 187-197。

[30] 柴雁欣，向月，等. 基于关联学习的配电网多年投资规划模型[J]供用电，2021, 38(12): 55-63。

[31] 杨晶显，刘继春，刘俊勇，向月，等. 基于VMD和双重注意力机制LSTM的短期光伏功率预测[J]电力系统自动化，2021，45(3): 174-182。

[32] 文家利，刘友波，黄媛，向月. 考虑LMP的城市电动汽车充电站优化配置[J]实验室研究与探索，2021, 40(10):44-49。

2020

[1] Yue Xiang, et al. Slope-based shape cluster method for smart metering load profiles [J]. IEEE Transactions on Smart Grid, 2020, 11(2): 1809-1811.

[2] Yue Xiang, et al. Cost-benefit analysis of integrated energy system planning considering demand response [J]. Energy, 2020, 192: 116632.

[3] Yue Xiang, et al. An explicit formula based estimation method for distribution network reliability [J]. IEEE Transactions on Power Delivery, 2020, 35(4): 2109-2112.

[4] Yue Xiang, et al. Reliability correlated optimal planning of distribution network with distributed generation [J]. Electric Power Systems Research, 2020, 186: 106391.

[5] Yue Xiang, et al. Reliability-oriented optimal planning of charging stations in electricity-transportation coupled networks [J]. IET Renewable Power Generation, 2020, 14(18): 3690-3698.

[6] Gang Wu, Yue Xiang (*), et al. Distributed energy-reserve co-optimization of electricity and natural gas systems with multi-type reserve resources [J]. Energy, 2020, 207: 118229.

[7] Gang Wu, Yue Xiang (*), et al. Decentralized day-ahead scheduling of multi-area integrated electricity and natural gas systems considering reserve optimization [J]. Energy, 2020, 198: 117271.

[8] Yanxin Chai, Yue Xiang (*), et al. Investment decision optimization for distribution network planning with correlation constraint [J]. International Transactions on Electrical Energy Systems, 2020, 30(7): e12323.

[9] Xuecheng Li, Yue Xiang (*), et al. Price incentive based charging navigation strategy for electric vehicles [J]. IEEE Transactions on Industry Applications, 2020, 56(5): 5762-5774.

[10] Runqi Deng, Yue Xiang (*), et al. Exploring flexibility of electric vehicle aggregators as energy reserve [J]. Electric Power Systems Research, 2020, 184: 106305.

[11] Chunqi Zhou, Yue Xiang (*), et al. Economic analysis of auxiliary service by V2G : city comparison cases [J]. Energy Reports, 2020, 6: 509-514.

[12] Jianping Yang, Yue Xiang (*), et al. Planning-objective based representative day selection for optimal investment decision of distribution networks [J]. Energy Reports, 2020, 6: 543-548.

[13] Lin Lyu, Xinran Yang, Yue Xiang (*), et al. Exploring high-penetration electric vehicles impact on urban power grid based on voltage stability analysis [J]. Energy, 2020, 198: 117301.

[14] Jingxian Yang, Shuai Zhang, Yue Xiang (*), et al. A LSTM auto-encoder based representative scenario generation method for hybrid hydro-PV power system[J]. IET Generation, Transmission & Distribution, 2020, 14(24): 5935-5943.

[15] Shikun Cheng, Yanzhao Han, Min Wang, Yue Xiang, et al. Bio-natural gas industry in China: current status and development[J]. Renewable & Sustainable Energy Reviews, 2020, 128: 109925.

[16] Jiahang Li, Ran Li, Shuangyuan Wang, Yue Xiang, et al. Regional nonintrusive electric vehicle monitoring based on graph signal processing [J]. IET Generation, Transmission & Distribution, 2020, 14(26): 6512-6517.

[17] Xiaodi Wang, Youbo Liu, Junyong Liu, Youwei Jia, Yue Xiang. Thermally controllable demand response with multiple load aggregators[J]. Electric Power Systems Research, 2020, 179: 106102.

[18] Chenlin Ji, Youbo Liu, Lin Lyu, Chang Liu, Yuxiang Peng, Yue Xiang. A personalized fast-charging navigation strategy based on mutual effect of dynamic queuing [J]. IEEE Transactions on Industry Applications, 2020, 56(5): 5729-5740.

[19] 柴雁欣，向月(*)，刘俊勇. 面向可靠性提升的关联规则驱动下配电网投资规划优选模型与方法[J]电力自动化设备，2020，40(3): 85-92。

[20] 陈诗杰，向月(*)，刘俊勇，沈晓东. 考虑负荷不确定性与差异化需求的配电网网架结构混合多属性评价优选模型[J]电力自动化设备，2020，40(11): 24-31。

[21] 王杨，向月(*)，刘俊勇. 聚类网架拓扑与源荷关联场景生成下配电网分布式电源规划方法[J]电力自动化设备，2020，40(12): 49-56。

[22] 倪伟，吕林，向月(*)，等. 基于马尔可夫过程蒙特卡洛法的综合能源系统可靠性评估[J]电网技术，2020，44(1)：150-158。

[23] 刘继春，陈雪，向月(*). 考虑共享模式的市场机制下售电公司储能优化配置及投资效益分析[J]电网技术，2020，44(5)：1740-1749。

[24] 刘继春，贾琢玉，向月(*). 泛在电力物联网下电动汽车充电服务费定价模型[J]工程科学与技术，2020，52(4)：33-41。

2019

[1] Yue Xiang, et al. Electric vehicles in smart grid: a survey on charging load modelling [J]. IET Smart Grid, 2019, 2(1): 25-33.

[2] Yue Xiang, et al. Electric vehicle charging in smart grid: a spatial-temporal simulation method [J]. Energy, 2019, 189: 116221.

[3] Shuai Hu, Yue Xiang (*), et al. Agent-based coordinated operation strategy for active distribution network with distributed energy resources[J]. IEEE Transactions on Industry Applications, 2019, 55(4): 3310-3320.

[4] Shuai Hu, Yue Xiang (*), et al. Reactive power operability of distributed energy resources for voltage stability of distribution networks[J]. Journal of Modern Power Systems and Clean Energy, 2019, 7(4): 851-861.

[5] Yanxin Chai, Yue Xiang (*), et al. Incentive-based demand response model for maximizing electricity retailers’ benefits[J]. Journal of Modern Power Systems and Clean Energy, 2019, 7(6): 1644–1650.

[6] Gang Wu, Yue Xiang (*), et al. Optimal dispatch of integrated electricity and natural gas systems considering medium and long-term electricity transaction[J]. CSEE Journal of Power and Energy Systems, 2019, 5(3): 315-323.

[7] Youbo Liu, Yunche Su, Yue Xiang (*), et al. Operational reliability assessment for gas-electric integrated distribution feeders[J]. IEEE Transactions on Smart Grid, 2019, 10(1): 1091-1100.

[8] Jichun Liu, Jianhua Li, Yue Xiang (*), et al. Optimal sizing of cascade hydropower and distributed photovoltaic included virtual power plant considering investments and complementary benefits in electricity markets[J]. Energies. 2019, 12:952(1-23).

[9] Jichun Liu, Yangfang Yang, Yue Xiang (*), et al. A power exchange strategy for multi-areas with hydro power and flexible load[J]. Energies. 2019, 12: 1160 (1-17).

[10] Jichun Liu, Zhengbo Chen, Yue Xiang (*), et al. Exploring economic criterion for energy storage system sizing in microgrid[J]. Energies. 2019, 12: 2312 (1-17).

[11] Jichun Liu, Jianhua Li, Yue Xiang (*), et al. Optimal sizing of hydro-PV-pumped storage integrated generation system considering uncertainty of PV, load and price[J]. Energies. 2019, 12: 3001 (1-23).

[12] Youbo Liu, Mingjuan Wang, Xianglong Liu, Yue Xiang (*). Evaluating investment strategies for distribution networks based on yardstick competition and DEA[J]. Electric Power Systems Research, 2019, 174: 105868.

[13] Da Huo, Chenghong Gu, Kang Ma, Wei Wei, Yue Xiang, et al. Chance constrained optimization for multi energy hub systems in a smart city[J]. IEEE Transactions on Industrial Electronics, 2019, 66(2): 1402-1412.

[14] Chenghong Gu, Can Tang, Yue Xiang, Da Xie. Power-to-gas management using robust optimisation in integrated energy systems[J]. Applied Energy, 2019, 236: 681-689.

[15] Xianglong Liu, Youbo Liu, Junyong Liu, Yue Xiang, et al. Optimal planning of AC-DC hybrid transmission and distributed energy resource system: review and prospects [J]. CSEE Journal of Power and Energy Systems, 2019, 5(3): 409-422.

[16] 胡帅，向月(*)，等. 基于参数化隶属度匹配函数的含分布式发电配电网模糊潮流计算[J]中国电机工程学报，2019, 39 (18): 5370-5379。

[17] 蒋卓臻，向月(*)，等. 集成电动汽车全轨迹空间的充电负荷建模及其对配电网可靠性的影响[J]电网技术，2019, 43 (10): 3789-3799。

[18] 蔡含虎，向月(*)，等. 计及需求响应的综合能源系统容量经济配置及效益分析[J]电力自动化设备，2019, 39(8): 186-194。

[19] 杨昕然，吕林，向月(*)，等. “车-路-网”耦合下电动汽车恶劣充电场景及其对城市配电网电压稳定性影响[J]电力自动化设备，2019, 39(10): 102-108。

[20] 吴刚，刘俊勇，向月，等. 计及中长期合同电量和风电不确定性的电-气综合能源系统日前优化调度[J]电力自动化设备，2019, 39(8): 246-253。

[21] 刘俊勇，向月，等. 三网融合下充电服务网规划与运营探讨[J]电力系统保护与控制，2019, 47(12): 1-12。

2018

[1] Yue Xiang, et al. Optimal sizing of energy storage system in active distribution networks using Fourier-Legendre series based state of energy function[J]. IEEE Transactions on Power Systems, 2018, 33(2): 2313-2315.

[2] Wei Yang, Yue Xiang (*), Junyong Liu, Chenghong Gu. Agent-based modeling for scale evolution of plug-in electric vehicles and charging demand[J]. IEEE Transactions on Power Systems, 2018, 33(2): 1915-1925.

[3] Yue Xiang, Zipeng Liu, Jichun Liu, Youbo Liu, Chenghong Gu. Integrated traffic-power simulation framework for electric vehicle charging station based on cellular automaton[J]. Journal of Modern Power Systems and Clean Energy, 2018, 6(4): 816-820.

[4] Yue Xiang, Lili Zhou, et al. Coordinated DG-Tie planning in distribution networks based on temporal scenarios[J]. Energy, 2018, 159: 774-785.

[5] Youbo Liu, Yue Xiang (*), et al. Optimal allocation model for EV charging stations coordinating investor and user benefits[J]. IEEE Access, 2018, 6: 36039-36049.

[6] Juhua Hong, Yue Xiang (*), et al. Development of EV charging templates: an improved K-prototypes method[J]. IET Generation, Transmission & Distribution, 2018, 12(20): 4361-4367.

[7] Junyong Liu, Yanxin Chai, Yue Xiang (*), et al. Clean energy consumption of power systems towards smart agriculture: roadmap, bottlenecks and technologies[J]. CSEE Journal of Power and Energy Systems, 2018, 4(3): 53-62.

[8] Xiaohe Yan, Chenghong Gu, Furong Li, Yue Xiang. Network pricing for customer-operated energy storage in distribution networks[J]. Applied Energy,2018, 212: 283-292.

[9] Bowen Hong, Weitong Zhang, Yue Zhou, Jian Chen, Yue Xiang, Yunfei Mu. Energy-internet-oriented microgrid energy management system architecture and its application in China[J]. Applied Energy, 2018, 228: 2153-2164.

[10]倪伟,吕林,向月(*),等. 基于机会约束规划的能源集线器系统气电购置优化建模[J]电网技术，2018, 42(8): 2477-2486.

[11]张程嘉,刘俊勇,向月(*),等. 基于数据挖掘的电动汽车充电设施配置与两阶段充电优化调度[J]中国电机工程学报，2018, 38(4): 1054-1064.

2017

[1] Yue Xiang, et al. An economic criterion for distributed renewable generation planning[J]. Electric Power Components and Systems, 2017, 45(12): 1298-1304.

[2] Yue Xiang, et al. Scale evolution of electric vehicles: a system dynamic approach[J]. IEEE Access, 2017, 5: 8859~8868.

[3] 蒋卓臻，刘俊勇，向月(*)，等. 配电网信息物理系统可靠性评估关键技术探讨[J]电力自动化设备，2017, 37(12): 30-41。

[4] 洪居华，刘俊勇，向月(*)，等.城市能源互联网初步认识与研究展望[J]电力自动化设备，2017, 37(6): 15-24。

[5] 杨威，向月(*)，等.基于多代理技术的电动汽车规模演化模型[J]电网技术，2017, 41(7): 2146-2154.

[6] 左坤雨，刘友波，向月(*)，等.基于信息互动的分布式可再生能源多代理交易竞价模型[J]电网技术，2017, 41(8)：2477-2484.

2016

[1] Yue Xiang, Junyong Liu, Yilu Liu. Robust energy management of microgrid with uncertain renewable generation and load[J]. IEEE Transactions on Smart Grid, 2016, 7(2):1034-1043.

[2] Yue Xiang, et al. Economic planning of electric vehicle charging stations considering traffic constraints and load templates[J]. Applied Energy, 2016, 178:647-659.

[3] Yue Xiang, et al. Optimal active distribution system management with aggregated plug-in electric vehicle[J]. Electric Power Systems Research, 2016, 131:105-115.

[4] Yue Xiang, et al. Optimal active distribution network planning: a review[J]. Electric Power Components and Systems, 2016, 44(10):1075-1094.

[5] Yue Xiang, et al. Investigation on impacts of alternative generation siting from the view of complex network theory[J]. Electric Power Components and Systems, 2016, 44(7):820-831.

[6] Yue Xiang,et al. A chance constrained optimization model for determining renewables penetration limit in power systems[J]. Electric Power Components and Systems, 2016, 44(7):701-712.

[7] Yue Xiang, et al. Multi-objective distribution network expansion incorporating electric vehicle charging stations[J]. Energies. 2016, 9:909(1-17).

[8] Feifei Bai, Xiaoru Wang, Yilu Liu, Xinyu Liu, Yue Xiang, et al. Measurement-based frequency dynamic response estimation using geometric template matching and recurrent artificial neural network[J]. CSEE Journal of Power and Energy Systems, 2016, 2(3): 10-18.

2016以前

[1] Yue Xiang, et al. Active energy management strategy for active distribution system[J]. Journal of Modern Power Systems and Clean Energy, 2015, 3(4):533-543.

[2] Yue Xiang, et al. Two-stage control strategy for structure optimization of faulted distribution system with distributed generation[J]. Electric Power Components and Systems, 2014, 42(6):595-604.

[3]向月, 刘俊勇, 等. 考虑可再生能源出力不确定性的微电网能量优化鲁棒模型[J].中国电机工程学报, 2014, 34(19): 3063-3072.

[4]向月, 刘俊勇, 冯翰, 等. 偏远地区含分布式能源孤立微网经济配置研究[J]. 四川大学学报(工学版), 2013, 45 (Z2):175-181.

[5]向月, 刘俊勇, 姚良忠, 等. 考虑故障条件下含分布式电源配电网孤岛划分与重构优化策略研究[J]. 电网技术, 2013, 37(4):1025-1032.

[6]向月, 刘俊勇, 魏震波, 刘友波. 可再生能源接入下新型可中断负荷发展研究[J]. 电力系统保护与控制, 2012, 40(5):148-155.

[7]向月, 刘俊勇, 刘友波, 等. 考虑质心映射和路径解析的分布式电源优化配置搜索策略[J]. 电网技术, 2012, 36(6):133-140.

【代表性学术会议文章】

[1] Jianping Yang,Yue Xiang. Trading-coupled Sequential Operation Simulation of Distribution Network with Distributed Prosumers[C]. 2023 International Conference on Future Energy Solutions (FES).

[2] Junyi Tao, Yue Xiang, et al. Optimal Decarbonized Power System Planning with Capacity Remuneration Mechanisms[C]. 2023 Panda Forum on Power and Energy (PandaFPE).

[3] Chuanqing Pu, Yue Xiang, et al. Flexible Coordination of Wind Generators and Energy Storages in Joint Energy and Frequency Regulation Market [C]. 2023 Panda Forum on Power and Energy (PandaFPE).

[4] Yue Xiang, et al. Electricity-carbon Nexus: Concept, Framework and Practice[C]. 2023 Panda Forum on Power and Energy (PandaFPE).

[5] Yue Xiang, et al. Charging Station Planning Considering Pressure Energy Utilization of Natural Gas Pipe Networks[C]. 2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia).

[6] Lizhong Zhang, Jianping Yang,Yue Xiang. Web Server Based Interactive Teaching Platform for Power Pool Clearing in Electricity Market [C]. 2021 6th International Conference on Power and Renewable Energy (ICPRE).

[7] Yue Xiang, et al. Correlation-based Investment Decision-Making for Distribution Network Reconstruction [C]. 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia).

[8] Yang Wang, Yue Xiang, et al. Identifying Correlation between Planning Strategy and Reliability of Distribution Networks Based on Machine Learning [C]. 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia).

[9] Jinpeng Meng, Yue Xiang, et al. Siting of Electric Vehicle Charging Stations Based on Weighted Voronoi Diagram: A Graphic User Interface Design [C]. 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia).

[10] Shuoya Tang, Junyong Liu, Yue Xiang, et al. Combined planning strategy for charging infrastructures and distribution network integrated with district information [C]. IET International Conference on Intelligent and Connected Vehicles (ICV 2016).

[11] Yue Xiang, et al. A traffic flow based planning strategy for optimal siting and sizing of charging stations [C]. 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC).

【学术报告】

[1] 关联性驱动的配电网分布式电源规划方法. CIGRE中国国家委员会C1专业委员会技术交流会议. 2020.11.23, 成都.

[2] Techno-economic design of energy systems for airport electrification: a hydrogen-solar-storage integrated solution. IEEE Sustainable Power & Energy Conference, 2020.11.24，成都.

[3] 集成电动汽车全轨迹空间的城市电网可靠性评估理论及提升策略研究. 国家自然科学基金汇报会(电力系统-电力电子). 2020.11.27, 重庆.

[4] Unlocking residential EV charging load pattern. IEEE I&CPS Asia 2021, 2021.7.20, 成都.

[5] Web server based interactive teaching platform for power pool clearing in electricity market. ICPRE2021, 2021.9.24, 上海.

[6] Robust Planning of Electric Vehicle Charging Infrastructures and Distribution Networks considering Reliability Benefit, 第17届中韩继电保护论坛, 2023.2.16, 韩国首尔.

[7] Hostting Capability Assessment and Enhancement of Electric Vehicles in Distribution Networks IEEE iSPEC, 2023.11.30, 重庆.

[8] 配电网电动汽车承载能力评估与提升, 第七届中国电动汽车充换电与驱动系统学术研讨会, 2023.11.26, 许昌.

[9] 电动汽车充电负荷预测, 聚合与可调控能力评估, 第八届中国电动汽车充换电与驱动系统学术研讨会, 2024.11.9, 许昌.

[10] 促进清洁能源消纳的车网互动交易与定价策略, 第九届中国电动汽车充换电与驱动系统学术研讨会, 2025.11.2, 许昌.

[11] 配电网产消者电-碳耦合端对端交易优化, Engineering大讲堂-智能电网与能源互联网, 2026.4.24, 中国科学网在线.

[12] 面向电动汽车有序充电的学习预测调控方法, 2026年第七届交叉学科论坛, 2026.4.24, 上海.

[9] 电动汽车充电负荷预测, 聚合与可调控能力评估, 第八届中国电动汽车充换电与驱动系统学术研讨会, 2026.9.13, 许昌.

[9] 电动汽车充电负荷预测, 聚合与可调控能力评估, 第八届中国电动汽车充换电与驱动系统学术研讨会, 2024.9.9, 许昌.

【学术会议或期刊专题组织】

[1] Special Session Chair, Planning and Operation of Smart Distribution Network with High Penetration of Distributed Energy Resources and Electric Vehicles. 2019 IEEE PES Innovative Smart Grid Technologies - Asia.

[2] Special Session Chair, Low-carbon Oriented Advanced Techniques for Power Systems Planning. 2021 IEEE IAS Industrial and Commercial Power System Asia.

[3] Technical Committee Member, 2021 IEEE PES Innovative Smart Grid Technologies Asia.

[4] Special Session Chair, Low-carbon Oriented Advanced Techniques for Power Systems Planning. IEEE I&CPS Asia 2021.

[5] Guest Editor, Net-zero Energy Systems. CSEE JPES.

[6] Special Session Chair, New Paradigm Shifts in Power System Planning. 2022 7th Asia Conference on Power and Electrical Engineering.

[7] 联合特约主编，“电动汽车与能源互联网融合发展的核心理论与关键技术”专题, 《电力自动化设备》.

[8] Special Session Chair, Operation and Planning of New Distribution System. IEEE I&CPS Asia 2022.

[9] Leading Guest Editor, Operation and Planning of Integrated Energy Systems. IET Smart Grid.

[10]Special Session Chair, Operation and Planning of New Type Power System. 2023 8th Asia Conference on Power and Electrical Engineering.

[11] Program Committee Chair, 2023 Panda Forum on Power and Energy.

[12] 专栏主编,“新型电力系统源网荷储灵活性资源运营及关键技术”, 《中国电力》.

[13] 专栏主编,“低碳园区综合能源系统优化与运行关键技术”, 《中国电力》.

[14] Guest Editor, Battery energy storage systems for net-zero power systems and markets. MPCE.

[15] Special Session Chair, New-Type Power System Operation & Planning . 2024 9th Asia Conference on Power and Electrical Engineering.

[16] Technical Program Committee Member, 2023 7th IEEE Conference on Energy Internet and Energy System Integration.

[17] Guest Editor, Planning, Operation and Control of Flexible Distribution Network. IET ECE.

[18] Guest Editor, Optimization and Data-driven Approaches for Energy Storage-based Demand Response to Achieve Power System Flexibility. Frontiers in Energy Research.

[19] Guest Editor, Urban Multi-energy System Networks with High Proportion of Renewable Energy. Frontiers in Energy Research.

[20] Special Session Chair, 能源互联网的低碳运行与规划. AEEES 2025.

[21] 专栏主编,“电-碳协同下分布式能源系统运营关键技术”, 《中国电力》.

[22] Guest Editor, Sustainable Management of Distributed Energy Resources. Sustainability.

[23] Guest Editor, Construction and Control Technologies of RenewablePower Systems Based on Grid-Forming Energy Storage. Energy Engineering.

[24] Guest Editor, AI for Next Generation Flexible, Reliable, Resilient and Sustainable Energy Systems. Energy Engineering.

[25] Guest Editor, Large models for Next-Generation Energy Systems. Applied Energy.

[26] Panel Session Chair, E-mobility: Enabler of Next Generation Flexible, Resilient & Sustainable Power Grid. IEEE PES IM 2026.

[27] Panel Session Chair, E-mobility: Enabler of Next Generation Flexible, Resilient & Sustainable Power Grid. AEEES 2026.

[28] Co-Chair, 2026 5th Asian Conference on Frontiers of Power and Energy(ACFPE 2026).

[29] 专栏主编,“'双碳’目标下支撑能源转型的电价市场化改革与价格监管”, 《中国电力》.

[30] Panel Session Chair, Key Technologies and Applications of the Digital Platform for Large-scale Urban Energy Internet. 2026 The 10th IEEE Conference on Energy Internet and Energy System Integration.

[31] 专栏主编,“AI赋能的全国统一电力市场预测决策一体化关键技术”, 《中国电力》.

[32] Workshop Chair, Digital-Enabled Planning of Regional Multi-Energy Systems Supporting Urban Sustainability. 2026 6th International Conference on Intelligent Power and Systems.

【优秀论文奖】

[1] Optimal allocation of distributed renewable generation units in distribution networks.中美绿色能源峰会(优秀论文一等奖), 2016.

[2]充换电服务网络及其与配电网协同规划关键技术分析与研究, 电力建设优秀论文奖, 2016.

[3] Measurement-based cell-DT method for power system transient stability. IEEE Chengdu Section 优秀学生论文奖, 2018.

[4] Clean energy consumption of power systems towards smart agriculture: roadmap, bottlenecks and technologies. CSEE JPES 优秀论文奖, 2019.

[5] Correlation-based investment decision-marking for distribution network reconstruction. IEEE PES ISGT Asia 2019 (Innovative Smart Grid Technologies Asia) 优秀论文奖, 2019.

[6] 考虑用电形态相似度的多用户共享储能投资效益分析, 中国电机学会能源互联网专委会2020年学术年会(优秀论文一等奖), 2020.

[7] Multi-area P2P energy trading. 2020 IEEE Student Conference on Electric Machines and Systems 优秀学生论文奖, 2020.

[8] Optimal planning of AC-DC hybrid transmission and distributed energy resource system: Review and prospects, CSEE JPES (年度高影响力文章), 2020.

[9] Data-driven load pattern identification. IEEE I&CPS Asia 2021 优秀论文奖, 2021.

[10] Clean energy consumption of power systems towards smart agriculture: roadmap, bottlenecks and technologies, 中国电机工程学会优秀论文三等奖, 2021.

[11] Charging station planning considering pressure energy utilization of natural gas pipe networks. IEEE I&CPS Asia 2022 优秀论文奖, 2022.

[12] A peer to peer transaction based pricing model of distribution networks with 100% renewable energy. IEEE I&CPS Asia 2022 优秀学生论文奖, 2022.

[13] Market policy oriented profit mechanism analysis for charging station planning based on traffic data. 2022 The 3rd International Conference on Power Engineering最佳口头汇报奖, 2022.

[14] Low-carbon economic planning of integrated electricity-gas energy systems. 第三届川渝科技学术大会优秀论文二等奖.

[15] 基于数字孪生的区域气象关联风电预测模型. 四川省电机工程学会新型电力系统征文竞赛一等奖.

[16] 新型配电系统分布式源网荷储资源广域电压自趋优管控方法. 四川省电机工程学会新型电力系统征文竞赛三等奖.

[17] 泛在电力物联网下电动汽车充电服务费定价模型. 《工程科学与技术》2022年高影响力论文.

[18] Flexible coordination of wind generators and energy storages in joint energy and frequency regulation market. 2023年电力与能源熊猫论坛最佳论文奖、最佳口头报告奖.

[19] How will carbon pricing models affect integrated energy system operation. 2023年电力与能源熊猫论坛最佳学生论文奖.

[20] Optimal decarbonized power system planning with capacity remuneration mechanisms. 2023年电力与能源熊猫论坛最佳创新研究奖.

[21] 四川大学优秀本科毕业设计一等奖(汪顺其，面向配电网韧性提升的集群电动汽车协同调度研究), 2023.

[22] 四川大学优秀本科毕业设计三等奖(陶君奕，市场环境下考虑容量充裕性机制的电力系统电源结构研究), 2023.

[23] 四川大学优秀本科毕业设计三等奖(濮川苘，参与调频辅助和电能量市场的风储联合系统协调优化运行研究), 2023.

[24] Language model based framework for secure operation of power systems. 2024 3rd International Conference on Power Systems and Electrical Technology 最佳口头汇报奖, 2024.

[25] 四川大学优秀本科毕业设计一等奖(谭玲，电动汽车集群参与电网能量-辅助市场优化调度研究), 2025.

[26] 计及需求响应的高比例清洁能源园区储能容量优化配置. 《中国电力》2025年高影响力论文.

人才培养

【主讲课程】

本科生必修课程：《电力市场理论》(国家级一流课程)

本科生选修课程：《电气工程前沿研讨》

硕士选修课程：《电力系统经济性：设计与分析基础》

专硕专博必修课程：《电气工程前沿技术与专业实践》

【主持或参研的教改课题】

1、交叉科学小课题嵌入式教学辅助方案研究——《电力市场理论》课程建设，已结题(优秀)。

2、面向“电动汽车与智能电网”交叉科学和前沿技术的创新创业课程设计与研究培养，已结题(优秀)。

3、智慧生态型新一代电气工程人才培养体系研究，省级项目，已结题(优秀)。