古宸嘉
助理研究员
专业：电气工程，电力系统及其自动化
研究方向：新型电力系统规划与运行优化;低碳导向的源网荷储一体化配置
科研团队：含混合能源电力系统调控优化及信息处理团队（四川大学“德渥群芳”育人文化建设标兵团队）
Email: gcj629@foxmail.com
地址：成都市一环路南一段24号四川大学基础教学楼B102-2
邮编：610065
工作和学习经历
2024-10 至 今, 四川大学, 电气工程学院, 专职博士后/助理研究员（合作导师：周步祥教授）
2023-12 - 2024-10, 南网能源发展研究院, 电力规划中心, 研究员
2021-12 - 2022-12, Stevens Institute of Technology，美国，联合培养博士（导师： Prof. Lei Wu, IEEE Fellow）
2017-09 - 2023-12, 西安交通大学, 电气工程, 博士（导师：王建学教授，王锡凡院士团队）
2013-09 - 2017-06, 西安交通大学, 电力系统及其自动化, 学士
科研项目
[1] 国网山西经研院科技项目，助力低碳目标的省级电网和储能联合优化规划理论和方法研究，2022.06-2023.12，主研
[2] 国网山西经研院科技项目，双碳目标下新型电力系统负荷侧资源聚集演化分析和系统规划评估关键技术研究，2022.06-2023.12，主研
[3] 世界银行咨询项目，储能对甘肃新能源消纳的影响分析研究，2019.1-2019.12，主研
[4] 国家重点研发计划，多能源电力系统互补协调调度与控制，2017.9-2021.09，主研
[5] 南方电网总部科技项目，含大规模新能源、储能和负荷响应的电源协调规划理论、方法及软件开发，2016.09-2019.09，参研
代表性学术成果
【论文】
[1] Chenjia Gu, Jianxue Wang, Lei Wu. Multi-stage planning of clean resources and energy storage assets with hybrid uncertainty modeling for low-carbon resilient distribution systems[J]. Journal of Cleaner Production, 2024, 479: 144026.
[2] Chenjia Gu, Jianxue Wang, Lei Wu. Distributed energy resource and energy storage investment for enhancing flexibility under a TSO-DSO coordination framework[J]. IEEE Transactions on Automation Science and Engineering, 2023.
[3] Chenjia Gu, Yikui Liu, Jianxue Wang, et al. Carbon-Oriented Planning of Distributed Generation and Energy Storage Assets in Power Distribution Network With Hydrogen-Based Microgrids[J]. IEEE Transactions on Sustainable Energy, 2023, 14(2): 790-802..
[4] Chenjia Gu, Jianxue Wang, Yao Zhang, et al. Optimal energy storage planning for stacked benefits in power distribution network[J]. Renewable Energy, 2022, 195: 366-380.
[5] Chenjia Gu, Yao Zhang, Jianxue Wang, et al. Joint planning of electrical storage and gas storage in power-gas distribution network considering high-penetration electric vehicle and gas vehicle[J]. Applied Energy, 2021, 301: 117447.
[6] Chenjia Gu, Jianxue Wang, Qian Yang, et al. Assessing operational benefits of large‐scale energy storage in power system: Comprehensive framework, quantitative analysis, and decoupling method[J]. International Journal of Energy Research, 2021, 45(7): 10191-10207.
[7] Haicheng Liu, Haotian Li, Hongli Liu, Chenjia Gu*, et al. A closed‐loop representative day selection framework for generation and transmission expansion planning with demand response[J]. Energy Conversion and Economics, 2024, 5(2): 93-109.
[8] Haotian Li, Jianxue Wang, Zeyuan Shen, Chenjia Gu, et al. Optimal energy base planning method with integrated industry high-consumption demand response and dynamic line rating[J]. Electric Power Systems Research, 2023, 225: 109795.
[9] Qingtao Li, Jianxue Wang, Yao Zhang, Qiuwei Wu, Chenjia Gu, Qian Yang et al. Hierarchical market-based optimal planning of transmission network and wind-storage hybrid power plant[J]. International Journal of Electrical Power & Energy Systems, 2023, 153: 109328..
[10] Yang Chen, Jianxue Wang, Rui Bo, Chenjia Gu, Qingtao Li, et al. Risk-averse scheduling of integrated electricity-heat systems considering multi-energy network operations for resilience enhancement against contingencies[J]. International Journal of Electrical Power & Energy Systems, 2023, 153: 109313..
[11] Qingtao Li, Jianxue Wang, Jie Chen, Tao Ding, Chenjia Gu. A hierarchical multi‐area capacity planning model considering configuration ratios of renewable energy and energy storage systems with multi‐area coordination[J]. IET Generation, Transmission & Distribution, 2023, 17(16): 3658-3677..
[12] Yang Chen, Jianxue Wang, Siyuan Wang, Rui Bo, Chenjia Gu, Qingtao Li. Managing reserve deliverability risk of integrated electricity‐heat systems in day‐ahead market: A distributionally robust joint chance constrained approach[J]. IET Generation, Transmission & Distribution, 2023, 17(15): 3449-3462.
[13] Yunhao Li, Jianxue Wang, Chenjia Gu, et al. Investment optimization of grid-scale energy storage for supporting different wind power utilization levels[J]. Journal of Modern Power Systems and Clean Energy, 2019, 7(6): 1721-1734..
[14] Jing Huang, Jiale Guo, Dong Yao, Zheng Cao, Cuichao He, Chenjia Gu and Qun Zhou. Comprehensive Benefits Assessment Framework for Orderly Integration of Electric Vehicles in Three-phase Distribution Networks[C]//2024 IEEE Conference on Energy Internet and Energy System Integration (IEEE EI2 2024). IEEE, 2024: 1-6.
[15] 古宸嘉，王建学，李清涛，张耀. 新能源集中并网下大规模集中式储能规划研究述评[J]. 中国电力, 2022, 55(1):12. (高PCSI论文, 高被引论文, 高下载论文）
[16] 李志远,王建学,邓娇娇,古宸嘉,等.基于变电站并网方案精细化建模的输电系统规划方法[J/OL].中国电机工程学报,2024．
【专利】
[1] 王建学, 古宸嘉, 李昀昊, 等. 一种基于新能源随机波动的多类型储能联合规划方法与流程, 授权专利．
[2] 范越, 古宸嘉, 王建学, 等. 一种基于高比例光伏接入电力系统的储能综合定容方法, 授权专利．
[3] 王建学, 李清涛, 古宸嘉, 等. 一种最大化可再生能源利用的多阶段电源规划方法与流程, 授权专利．
[4] 王建学, 杨钤, 刘子拓, 古宸嘉, 等. 一种新能源场站储能配置计算方法及系统, 授权专利．
[5] 王建学, 雍维桢, 魏景东, 古宸嘉, 等. 一种考虑多盈利模式的园区电网储能优化配置方法及系统, 授权专利．
[6] 王建学, 陈天恩, 李昀昊, 刘瑞丰, 刘洋洋, 李焰, 祁小芳, 古宸嘉,等. 一种基于节点电价机制的可再生能源交易费用的计算方法, 授权专利．
学术兼职
担任IEEE Transactions on Smart Grid、IEEE Transactions on Power Systems、IEEE Transactions on Industrial Informatics、IEEE Transaction on Energy Markets, Policy and Regulations、Renewable Energy、CSEE JPES等国内外学术期刊审稿人。
科研团队
含混合能源电力系统调控优化及信息处理团队隶属于四川大学电气工程学院，传承自滕福生先生，是我国最早开始进行电力系统调度自动化领域研究的团队之一。目前在周步祥教授的带领下，长期持续地开展能源电力系统规划、调控及信息处理、新能源与储能等领域研究。团队研究注重理论与工业应用，具有快速原型控制器、实时仿真器、计算服务器等关键软/硬件开发工具，理论研究成果多有落地或硬件样机的研发，欢迎各位同学的加入！
