上海交通大学学报 ›› 2026, Vol. 60 ›› Issue (4): 574-583.doi: 10.16183/j.cnki.jsjtu.2025.016
收稿日期:2025-01-13
修回日期:2025-04-03
接受日期:2025-05-08
出版日期:2026-04-28
发布日期:2026-04-29
通讯作者:
胡秦然
E-mail:qhu@seu.edu.cn
作者简介:李 杰(1982—),硕士生,从事电力系统运行控制研究.
基金资助:
LI Jie1, LIANG Wenteng1, LIU Yuheng1, LI Lanqing1, HU Qinran2(
)
Received:2025-01-13
Revised:2025-04-03
Accepted:2025-05-08
Online:2026-04-28
Published:2026-04-29
Contact:
HU Qinran
E-mail:qhu@seu.edu.cn
摘要:
针对虚拟电厂盈利模式有限、收益不稳定的问题,提出通过虚拟电厂内部光伏并网变流器的控制,使其参与无功辅助服务市场以获取调压收益.该方法可在极端天气场景下保障系统电压稳定性,同时扩充虚拟电厂的收益渠道.在此基础上,构建考虑需求响应的虚拟电厂参与辅助服务市场的双层优化模型:上层以虚拟电厂综合收益最大化为目标,下层以虚拟电厂柔性负荷用电成本最小化为目标,并利用KKT条件将双层模型转化为单层模型进行求解.算例研究表明,该策略不仅在极端天气下为虚拟电厂参与辅助服务市场带来稳定收益,在正常天气下同样具有有效性和适应性.
中图分类号:
李杰, 梁文腾, 刘宇恒, 李蓝青, 胡秦然. 考虑极端天气的虚拟电厂参与辅助服务市场策略研究[J]. 上海交通大学学报, 2026, 60(4): 574-583.
LI Jie, LIANG Wenteng, LIU Yuheng, LI Lanqing, HU Qinran. Strategies of Virtual Power Plants Participating in Auxiliary Service Market Under Extreme Weather Conditions[J]. Journal of Shanghai Jiao Tong University, 2026, 60(4): 574-583.
| [1] | 王飞, 王歌, 徐飞. 面向系统响应能力提升的虚拟电厂聚合特性及交易机制综述[J]. 电力系统自动化, 2024, 48(18): 87-103. |
| WANG Fei, WANG Ge, XU Fei. Summary of aggregation characteristics and trading mechanism of virtual power plant for improving system response ability[J]. Automation of Electric Power Systems, 2024, 48(18): 87-103. | |
| [2] |
彭超逸, 陈文哲, 徐苏越, 等. 支持虚拟电厂提供灵活爬坡服务的云边协同市场模型[J]. 上海交通大学学报, 2025, 59(2): 186-199.
doi: 10.16183/j.cnki.jsjtu.2023.240 |
| PENG Chaoyi, CHEN Wenzhe, XU Suyue, et al. Modeling of cloud-edge collaborated electricity market considering flexible ramping products provided by VPPs[J]. Journal of Shanghai Jiao Tong University, 2025, 59(2): 186-199. | |
| [3] |
高洪超, 王宣元, 邱小燕, 等. 新型电力系统环境下的虚拟电厂辅助调峰市场机制及其商业模式设计[J]. 太阳能学报, 2023, 44(3): 376-385.
doi: 10.19912/j.0254-0096.tynxb.2021-1284 |
|
GAO Hongchao, WANG Xuanyuan, QIU Xiaoyan, et al. Ramping energy market mechanism and its business model of virtual power plants oriented to new power system[J]. Acta Energiae Solaris Sinica, 2023, 44(3): 376-385.
doi: 10.19912/j.0254-0096.tynxb.2021-1284 |
|
| [4] | 邬凯浪, 李寅晓, 李立, 等. 楼宇型虚拟电厂参与能量和灵活爬坡市场优化运行策略[J/OL]. 上海交通大学学报. https://doi.org/10.16183/j.cnki.jsjtu.2024.191. |
| WU Kailang, LI Yinxiao, LI Li, et al. Optimal operation strategy of building virtual power plant participating in energy and flexible climbing market[J/OL]. Journal of Shanghai Jiao Tong University. https://doi.org/10.16183/j.cnki.jsjtu.2024.191. | |
| [5] |
李振坤, 于秋阳, 魏砚军, 等. 基于CPSS的综合能源微网群参与调频辅助服务成本建模分析[J]. 上海交通大学学报, 2024, 58(6): 893-903.
doi: 10.16183/j.cnki.jsjtu.2022.460 |
| LI Zhenkun, YU Qiuyang, WEI Yanjun, et al. Cost modeling and analysis of integrated energy microgrid group participation in frequency regulation auxiliary service market based on CPSS[J]. Journal of Shanghai Jiao Tong University, 2024, 58(6): 893-903. | |
| [6] | WU Y F, YI Z K, XU Y, et al. Robust optimization scheduling strategy for electrothermal cogeneration virtual power plant considering auxiliary services[C]// 2024 IEEE 7th International Electrical and Energy Conference. Harbin, China: IEEE, 2024: 3755-3760. |
| [7] | LI Y H, CHEN M, JI Y P, et al. The bidding strategy of wind-solar-small hydropower virtual power plant in the energy and auxiliary service market[C]// 2024 IEEE PES 16th Asia-Pacific Power and Energy Engineering Conference. Nanjing, China: IEEE, 2024: 1-5. |
| [8] | CUI Y, XIAO F, WANG W H, et al. The mechanism of virtual power plant participating in the peak regulation auxiliary service market[C]// 2021 3rd Asia Energy and Electrical Engineering Symposium. Chengdu, China: IEEE, 2021: 1010-1015. |
| [9] | 中国华电2023年干部一班第三课题组. 虚拟电厂商业模式与发展策略[J]. 能源, 2023, 10: 38-43. |
| China Huadian 2023 Cadre 1 Class 3rd Subject Group. Business model and development strategy of virtual power plant[J]. Energy, 2023, 10: 38-43. | |
| [10] | 郑彤, 张宇. 虚拟电厂规模化推广现存问题及政策建议[J]. 企业管理, 2023, S1: 126-127. |
| ZHENG Tong, ZHANG Yu. Existing problems and policy suggestions for large-scale promotion of virtual power plants[J]. Enterprise Management, 2023, S1: 126-127. | |
| [11] |
彭思佳, 邢海军, 成明洋. 多重不确定环境下考虑阶梯型碳交易的虚拟电厂低碳经济调度[J]. 上海交通大学学报, 2023, 57(12): 1571-1582.
doi: 10.16183/j.cnki.jsjtu.2022.185 |
| PENG Sijia, XING Haijun, CHENG Mingyang. Low carbon economic dispatch of virtual power plants considering ladder-type carbon trading in multiple uncertainties[J]. Journal of Shanghai Jiao Tong University, 2023, 57(12): 1571-1582. | |
| [12] | 尚清华, 李佩杰, 祁乐, 等. 基于价值分配方法的无功辅助服务市场研究[J]. 广西大学学报(自然科学版), 2024, 49(2): 346-359. |
| SHANG Qinghua, LI Peijie, QI Le, et al. Research on the market for reactive aucillary services based on a value-allocation approach[J]. Journal of Guangxi University (Natural Science Edition), 2024, 49(2): 346-359. | |
| [13] |
孟毓, 郭瑞, 石子川, 等. 含高比例风电低碳园区灵活性资源鲁棒协调运行[J]. 上海交通大学学报, 2025, 59(2): 165-174.
doi: 10.16183/j.cnki.jsjtu.2023.262 |
| MENG Yu, GUO Rui, SHI Zichuan, et al. Robustly coordinated operation for flexible resources in low-carbon park with high penetration of wind power[J]. Journal of Shanghai Jiao Tong University, 2025, 59(2): 165-174. | |
| [14] |
张宪文, 殷高文, 沈非凡, 等. 计及风电不确定性及碳交易的储能参与电力市场竞价策略[J]. 上海交通大学学报, 2024, 58(12): 1868-1880.
doi: 10.16183/j.cnki.jsjtu.2023.149 |
| ZHANG Xianwen, YIN Gaowen, SHEN Feifan, et al. Bidding strategies for energy storage participation in electricity market considering uncertainty of wind power and carbon trading[J]. Journal of Shanghai Jiao Tong University, 2024, 58(12): 1868-1880. | |
| [15] |
李建林, 张则栋, 梁策, 等. 计及源-荷不确定性的综合能源系统多目标鲁棒优化调度[J]. 上海交通大学学报, 2025, 59(2): 175-185.
doi: 10.16183/j.cnki.jsjtu.2023.238 |
| LI Jianlin, ZHANG Zedong, LIANG Ce, et al. Multi-objective robustness of integrated energy system considering source-load uncertainty[J]. Journal of Shanghai Jiao Tong University, 2025, 59(2): 175-185. | |
| [16] | 梁露, 李佳承, 韩长江, 等. 运行风险与资源随机波动影响下的虚拟电厂优化调度方法[J]. 供用电, 2023, 40(12): 22-31. |
| LIANG Lu, LI Jiacheng, HAN Changjiang, et al. Optimal scheduling method of virtual power plant under the influence of operational risk and random fluctuation of resources[J]. Distribution & Utilization, 2023, 40(12): 22-31. | |
| [17] | 刘吉成, 冯淑贤, 宋亚楠, 等. 计及源荷不确定性的虚拟电厂优化调度模型[J/OL]. 现代电力. https://doi.org/10.19725/j.cnki.1007-2322.2023.0205. |
| LIU Jicheng, FENG Shuxian, SONG Yanan, et al. Optimal scheduling model of virtual power plant considering source-load uncertainty[J/OL]. China Industrial Economics. https://doi.org/10.19725/j.cnki.1007-2322.2023.0205 | |
| [18] | 宋铎洋, 薛田良, 李艺瀑, 等. 考虑风光不确定性的虚拟电厂合作博弈调度及收益分配策略[J]. 电力工程技术, 2025, 44(1): 193-206. |
| SONG Duoyang, XUE Tianliang, LI Yipu, et al. Cooperative game scheduling and revenue sharing strategy for virtual power plants considering scenery uncertainty[J]. Electric Power Engineering Technology, 2025, 44(1): 193-206. | |
| [19] | 项中明. 发电侧电力市场无功辅助服务研究[D]. 杭州: 浙江大学, 2004. |
| XIANG Zhongming. Research on reactive power auxiliary services in the power generation market[D]. Hangzhou: Zhejiang University, 2004. | |
| [20] | PAN W Q, MAO M M, ZHOU Y F, et al. The impact of extreme weather condition on the voltage regulation in distribution systems with high penetration of roof-top photovoltaic[J]. Energy Reports, 2021, 7: 320-331. |
| [21] |
秦文萍, 杨镜司, 景祥, 等. 计及需求响应的微能网综合能源多时空尺度优化调度[J]. 上海交通大学学报, 2023, 57(12): 1583-1596.
doi: 10.16183/j.cnki.jsjtu.2022.177 |
| QIN Wenping, YANG Jingsi, JING Xiang, et al. Multi-time-space scale optimal dispatch of integrated energy in micro-energy grid considering demand response[J]. Journal of Shanghai Jiao Tong University, 2023, 57(12): 1583-1596. | |
| [22] | 高赐威. 虚拟电厂的概念思辨[J]. 供用电, 2023, 40(12): 2-6. |
| GAO Ciwei. Conceptual reflection on virtual power plants[J]. Distribution & Utilization, 2023, 40(12): 2-6. | |
| [23] |
王精, 邢海军, 王华昕, 等. 考虑电动汽车及负荷聚合商参与的综合能源系统优化调度[J]. 上海交通大学学报, 2023, 57(7): 814-823.
doi: 10.16183/j.cnki.jsjtu.2022.029 |
| WANG Jing, XING Haijun, WANG Huaxin, et al. Optimal scheduling of integrated energy system considering integration of electric vehicles and load aggregators[J]. Journal of Shanghai Jiao Tong University, 2023, 57(7): 814-823. | |
| [24] | 周伟, 孙永辉, 王建喜, 等. 计及自适应阶梯型需求响应激励机制的园区综合能源系统优化调度[J]. 电网技术, 2023, 47(10): 4210-4221. |
| ZHOU Wei, SUN Yonghui, WANG Jianxi, et al. Optimal dispatch of park-level integrated energy system considering adaptive stepped demand response incentive mechanism[J]. Power System Technology, 2023, 47(10): 4210-4221. | |
| [25] |
LU R Z, HONG S H. Incentive-based demand response for smart grid with reinforcement learning and deep neural network[J]. Applied Energy, 2019, 236: 937-949.
doi: 10.1016/j.apenergy.2018.12.061 URL |
| [26] | 王浩丞, 高红均, 王仁浚. 计及需求响应的虚拟电厂日前市场交易策略研究[J]. 智慧电力, 2024, 52(7): 64-71. |
| WANG Haocheng, GAO Hongjun, WANG Renjun. Day-ahead market trading strategy of virtual power plant considering demand response[J]. Smart Power, 2024, 52(7): 64-71. | |
| [27] |
QIAN T, MING W L, SHAO C C, et al. An edge intelligence-based framework for online scheduling of soft open points with energy storage[J]. IEEE Transactions on Smart Grid, 2024, 15(3): 2934-2945.
doi: 10.1109/TSG.2023.3330990 URL |
| [28] |
WU X Y, XUE F, DAI J F, et al. Adaptive under-frequency load shedding control strategy of power systems with wind turbines and UHVDC participating in frequency regulation[J]. Frontiers in Energy Research, 2022, 10: 875785.
doi: 10.3389/fenrg.2022.875785 URL |
| [29] |
SOOMAR A M, HAKEEM A, MESSAOUDI M, et al. Solar photovoltaic energy optimization and challenges[J]. Frontiers in Energy Research, 2022, 10: 879985.
doi: 10.3389/fenrg.2022.879985 URL |
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