考虑源网荷储协同的配网侧分布式光伏市场交易策略优化

檀勤良; 曾贾斌; 吕函谕; 贺嘉明; 史超凡; 丁毅宏

doi:10.11930/j.issn.1004-9649.202503052

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考虑源网荷储协同的配网侧分布式光伏市场交易策略优化

“十五五”电力系统源网荷储协同规划运行关键技术 | 更新时间：2025-10-29

- 考虑源网荷储协同的配网侧分布式光伏市场交易策略优化
- Optimization of Distribution-side Distributed Photovoltaic Market Trading Strategies Considering Source-Grid-Load-Storage Coordination
- 中国电力 2025年58卷第10期页码：39-49
- 作者机构：
  
  华北电力大学经济与管理学院,北京,102206
- 作者简介：
- 基金信息：
  
  国家自然科学基金重点专项资助项目（72342007）。
- DOI：10.11930/j.issn.1004-9649.202503052
  中图分类号：
- 网络出版：2025-10-23，
  
  纸质出版：2025
- 稿件说明：
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檀勤良, 曾贾斌, 吕函谕, 贺嘉明, 史超凡, 丁毅宏. 考虑源网荷储协同的配网侧分布式光伏市场交易策略优化[J]. 中国电力, 2025, 58(10): 39-49.

TAN Qinliang, ZENG Jiabin, LV Hanyu, et al. Optimization of Distribution-side Distributed Photovoltaic Market Trading Strategies Considering Source-Grid-Load-Storage Coordination[J]. 2025, 58(10): 39-49.
檀勤良, 曾贾斌, 吕函谕, 贺嘉明, 史超凡, 丁毅宏. 考虑源网荷储协同的配网侧分布式光伏市场交易策略优化[J]. 中国电力, 2025, 58(10): 39-49. DOI： 10.11930/j.issn.1004-9649.202503052.

TAN Qinliang, ZENG Jiabin, LV Hanyu, et al. Optimization of Distribution-side Distributed Photovoltaic Market Trading Strategies Considering Source-Grid-Load-Storage Coordination[J]. 2025, 58(10): 39-49. DOI： 10.11930/j.issn.1004-9649.202503052.

摘要

为应对高比例分布式光伏并网所产生的间歇性波动对电力系统安全稳定运行的挑战，提出一种源网荷储协同参与配网侧交易的市场机制和交易策略。首先，构建了配网侧分布式能源市场，考虑分布式能源特性设计市场机制。其次，考虑主体间的电能交易建立各主体的运行模型，并基于纳什谈判理论建立源网荷储多主体合作运行优化模型。最后，运用分布式交替方向乘子法（ADMM）求解，获取各方报价和收益。仿真结果表明，考虑该市场机制和配网系统运营商收益分配后，联盟整体市场收益提升了29.8%，光伏就地消纳占比提升了59.8%，验证了本文所提市场机制和交易策略的有效性。

Abstract

To address the challenges posed by intermittent fluctuation of high-penetration distributed photovoltaic (DPV) integration to the secure and stable operation of the power system

a market mechanism and trading strategy is proposed for collaborative participation of source-grid-load-storage in distribution-side transactions. Firstly

the distribution-side distributed energy market was constructed

and a market mechanism was designed considering the characteristics of distributed energy. Secondly

an operation model of each entity was established considering electricity transaction among entities

and an optimization model for multi-agent cooperative operation of source-grid-load-storage was established based on Nash bargaining theory. Finally

the distributed alternating direction method of multiplier (ADMM) was employed to obtain bids and profits of all parties. Simulation results show that

after considering the market mechanism and the revenue distribution of the distribution system operator

the overall alliance market revenue increased by 29.8%

and the local PV consumption rate rose by 59.8%

verifying the effectiveness of the proposed market mechanism and trading strategy.

关键词

Keywords

references

1赵振宇, 任旭. 考虑动态能价及碳证交易的综合能源系统零碳优化[J]. 电力建设, 2024, 45 (8): 36- 50.

ZHAO Zhenyu, REN Xu. Zero-carbon optimization of integrated energy system considering dynamic energy prices and carbon certificate trading[J]. Electric Power Construction, 2024, 45 (8): 36- 50.

3康俊杰, 赵春阳, 周国鹏, 等. 基于熵权-德尔菲法的源网荷储多能互补项目布局评估方法[J]. 中国电力, 2024, 57 (12): 120- 131.

KANG Junjie, ZHAO Chunyang, ZHOU Guopeng, et al. A layout evaluation method for source-network-load-storage and multi-energy complementary projects based on entropy weight and Delphi method[J]. Electric Power, 2024, 57 (12): 120- 131.

4翁毅选, 马伟哲, 黄福全, 等. 考虑分布式资源交易的气电综合能源配网系统出清模型[J]. 电力系统自动化, 2024, 48 (14): 52- 60.

WENG Yixuan, MA Weizhe, HUANG Fuquan, et al. Distribution-level clearing model of gas-electricity integrated energy system considering distributed resource trading[J]. Automation of Electric Power Systems, 2024, 48 (14): 52- 60.

5王鹏, 喻译, 赵艺涵, 等. 基于纳什谈判的光伏产消者与共享储能协同参与市场优化策略[J]. 电网技术, 2025, 49 (2): 642- 652.

WANG Peng, YU Yi, ZHAO Yihan, et al. Optimization strategy for collaborative market participation of photovoltaic prosumers and shared energy storage based on Nash bargaining[J]. Power System Technology, 2025, 49 (2): 642- 652.

6于昊正, 赵寒杰, 李科, 等. 计及需求响应的分布式光伏集群承载能力评估[J]. 电力建设, 2023, 44 (2): 122- 131.

YU Haozheng, ZHAO Hanjie, LI Ke, et al. Carrying capacity evaluation of distribution network for distributed photovoltaic cluster considering user-side demand response[J]. Electric Power Construction, 2023, 44 (2): 122- 131.

9祁浩南, 刘友波, 高红均, 等. 考虑运行约束快速校核的配电网多主体端对端交易机制[J]. 电力系统自动化, 2022, 46 (23): 20- 28.

QI Haonan, LIU Youbo, GAO Hongjun, et al. Multi-entity peer-to-peer transaction mechanism of distribution network considering rapid verification of operation constraints[J]. Automation of Electric Power Systems, 2022, 46 (23): 20- 28.

10李振伟, 刘洋, 许立雄, 等. 计及信誉值和电气距离的分布式电能交易区块链模型[J]. 电力建设, 2023, 44 (2): 132- 144.

LI Zhenwei, LIU Yang, XU Lixiong, et al. Distributed energy transaction blockchain model considering reputation value and electrical distance[J]. Electric Power Construction, 2023, 44 (2): 132- 144.

11陈新和, 裴玮, 邓卫. 基于代理模型的分布式能源现货市场运营模式[J]. 电力自动化设备, 2020, 40 (10): 107- 116.

CHEN Xinhe, PEI Wei, DENG Wei. Surrogate model based operation mode of distributed energy spot market[J]. Electric Power Automation Equipment, 2020, 40 (10): 107- 116.

12张凡, 高红均, 吴子豪, 等. 局域能源市场多产消者P2P交易框架设计[J]. 电力自动化设备, 2022, 42 (12): 17- 25.

ZHANG Fan, GAO Hongjun, WU Zihao, et al. Design of P2P trading framework for multiple prosumers in local energy market[J]. Electric Power Automation Equipment, 2022, 42 (12): 17- 25.

13窦晓波, 曹水晶, 刘之涵, 等. 弱中心化的配电网市场交易机制、模型与技术实现[J]. 电力系统自动化, 2019, 43 (12): 104- 112.

DOU Xiaobo, CAO Shuijing, LIU Zhihan, et al. Trading mechanism, model and technical realization of weakly-centralized distribution network market[J]. Automation of Electric Power Systems, 2019, 43 (12): 104- 112.

14DU Y, LI F X. Intelligent multi-microgrid energy management based on deep neural network and model-free reinforcement learning[J]. IEEE Transactions on Smart Grid, 2020, 11 (2): 1066- 1076. DOI

15丁泉, 窦晓波, 温鹏, 等. 电力市场环境下配电网侧多类型主体纳什议价交易模型[J]. 电力自动化设备, 2024, 44 (12): 170- 177.

DING Quan, DOU Xiaobo, WEN Peng, et al. Nash bargaining based transaction model for multi-type entities on distribution network side under electricity market environment[J]. Electric Power Automation Equipment, 2024, 44 (12): 170- 177.

16陈璨, 樊小伟, 张文浩, 等. 促进分布式光伏消纳的两阶段源网荷储互动优化运行策略[J]. 电网技术, 2022, 46 (10): 3786- 3799.

CHEN Can, FAN Xiaowei, ZHANG Wenhao, et al. Two-staged generation-grid-load-energy storage interactive optimization operation strategy for promotion of distributed photovoltaic consumption[J]. Power System Technology, 2022, 46 (10): 3786- 3799.

17TAN J J, LI Y, ZHANG X P, et al. Operation of a commercial district integrated energy system considering dynamic integrated demand response: a Stackelberg game approach[J]. Energy, 2023, 274, 126888. DOI

18王鹏, 贺焕然, 伏凌霄, 等. 多品种电力市场交易下负荷聚合商投标策略及市场均衡分析[J]. 电力系统自动化, 2024, 48 (4): 111- 122.

WANG Peng, HE Huanran, FU Lingxiao, et al. Bidding strategy of load aggregators and market equilibrium analysis for multi-variety electricity market trading[J]. Automation of Electric Power Systems, 2024, 48 (4): 111- 122.

19刘军会, 龚健, 佟炳绅, 等. 基于分布式储能与光伏的虚拟电厂与配电网协同优化方法[J]. 中国电力, 2025, 58 (6): 1- 9.

LIU Junhui, GONG Jian, TONG Bingshen, et al. Coordinated optimization method for virtual power plants and distribution networks considering distributed energy storage and photovoltaics[J]. Electric Power, 2025, 58 (6): 1- 9.

20张靖琛, 江全元, 耿光超, 等. 基于区块链的负荷聚合商及居民用户多方共治交易模式[J]. 电力系统自动化, 2024, 48 (1): 109- 118.

ZHANG Jingchen, JIANG Quanyuan, GENG Guangchao, et al. Blockchain-based multi-party co-governance transaction mode for load aggregator and residential users[J]. Automation of Electric Power Systems, 2024, 48 (1): 109- 118.

21WANG Z, HOU H, ZHAO B, et al. Risk-averse stochastic capacity planning and P2P trading collaborative optimization for multi-energy microgrids considering carbon emission limitations: an asymmetric Nash bargaining approach[J]. Applied Energy, 2024, 357, 122505. DOI

22向恩民, 高红均, 刘畅, 等. 基于供需双侧博弈互动的园区多能运营商能源交易优化决策[J]. 中国电机工程学报, 2021, 41 (8): 2744- 2757.

XIANG Enmin, GAO Hongjun, LIU Chang, et al. Optimal decision of energy trading for community multi-energy operator based on game interaction with supply and demand sides[J]. Proceedings of the CSEE, 2021, 41 (8): 2744- 2757.

23周鑫, 韩肖清, 李廷钧, 等. 计及需求响应和电能交互的多主体综合能源系统主从博弈优化调度策略[J]. 电网技术, 2022, 46 (9): 3333- 3346.

ZHOU Xin, HAN Xiaoqing, LI Tingjun, et al. Master-slave game optimal scheduling strategy for multi-agent integrated energy system based on demand response and power interaction[J]. Power System Technology, 2022, 46 (9): 3333- 3346.

24游祥, 李华强, 陆杨, 等. 考虑配网潮流的多微网集中式交易定价策略[J]. 电网技术, 2022, 46 (4): 1297- 1309.

YOU Xiang, LI Huaqiang, LU Yang, et al. Pricing strategy for multi-microgrid centralized trading considering distribution network power flow[J]. Power System Technology, 2022, 46 (4): 1297- 1309.

25单兰晴, 孔王维, 顾承红, 等. 配电系统运营商在配网电力市场发展进程中的角色与功能演化初探[J]. 全球能源互联网, 2020, 3 (1): 70- 78.

SHAN Lanqing, KONG Wangwei, GU Chenghong, et al. Roles and functions of distribution system operators in local electricity market development[J]. Journal of Global Energy Interconnection, 2020, 3 (1): 70- 78.

26马腾飞, 裴玮, 肖浩, 等. 基于纳什谈判理论的风–光–氢多主体能源系统合作运行方法[J]. 中国电机工程学报, 2021, 41 (1): 25- 39, 395.

MA Tengfei, PEI Wei, XIAO Hao, et al. Cooperative operation method for wind-solar-hydrogen multi-agent energy system based on Nash bargaining theory[J]. Proceedings of the CSEE, 2021, 41 (1): 25- 39, 395.

27GONCALVES M L N, MELO J G, MONTEIRO R D C. Convergence rate bounds for a proximal ADMM with over-relaxation stepsize parameter for solving nonconvex linearly constrained problems[J]. 2017, arXiv: 1702.01850.

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