Research on the Evolutionary Game and Benefit Allocation Mechanism of Source-Grid Load-Storage Entities under High Proportion Renewable Energy Scenarios

Guan Shengli; Liu Nian

doi:10.13882/j.cnki.ncdqh.2604F016

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

Research on the Evolutionary Game and Benefit Allocation Mechanism of Source-Grid Load-Storage Entities under High Proportion Renewable Energy Scenarios

更新时间：2026-07-22

- Research on the Evolutionary Game and Benefit Allocation Mechanism of Source-Grid Load-Storage Entities under High Proportion Renewable Energy Scenarios
- Rural Electrification Issue 7, Pages: 21-25(2026)
- 作者机构：
  
  国网北京市电力公司亦庄供电公司，北京大兴,100176
- 作者简介：
- 基金信息：
- DOI：10.13882/j.cnki.ncdqh.2604F016
  CLC： TM73;F426.61
- Published：2026
- 稿件说明：
移动端阅览
管胜利, 刘念. 高比例新能源场景下“源网荷储”四主体演化博弈与收益分配机制研究[J]. 农村电气化, 2026, (7): 21-25.

Guan Shengli, Liu Nian. Research on the Evolutionary Game and Benefit Allocation Mechanism of Source-Grid Load-Storage Entities under High Proportion Renewable Energy Scenarios[J]. Rural Electrification, 2026, (7): 21-25.
管胜利, 刘念. 高比例新能源场景下“源网荷储”四主体演化博弈与收益分配机制研究[J]. 农村电气化, 2026, (7): 21-25. DOI： 10.13882/j.cnki.ncdqh.2604F016.

Guan Shengli, Liu Nian. Research on the Evolutionary Game and Benefit Allocation Mechanism of Source-Grid Load-Storage Entities under High Proportion Renewable Energy Scenarios[J]. Rural Electrification, 2026, (7): 21-25. DOI： 10.13882/j.cnki.ncdqh.2604F016.

摘要

文章立足我国电力系统运行实际，构建四主体演化博弈模型，重点分析政策补贴、负荷响应能力、新能源出力波动等关键因素对主体行为选择的影响。同时引入改进Shapley值法，综合成本投入、风险承担、协同贡献与政策适配性4项指标，设计更符合国内工程实际的收益分配方案。

Abstract

Based on the practical operation of China’s power system

this paper constructs a four party evolutionary game model and focuses on analyzing the influence of key factors such as policy subsidies

load response capability

and renewable energy output fluctuations on the behavioral choices of different participants. Meanwhile

an improved Shapley value method is introduced to design a benefit allocation scheme that better matches domestic engineering practice by comprehensively considering four indicators: cost input

risk bearing

collaborative contribution

and policy adaptability.

关键词

Keywords

references

国家能源局.2024年上半年全国电力工业统计数据[R].北京:国家能源局,2024.

石文辉,屈姬贤,罗魁,等.西北高比例新能源基地“源网荷储”协同路径研究[J].中国工程科学,2024,26(3):67-75.

国家发展改革委,国家能源局.关于促进“源网荷储”协同发展的指导意见[Z].2023.

钟雅珊,杨韵,左剑,等.不同场景下“源网荷储”系统经济性评估[J].供用电,2024,41(5):62-70.

李建林,赵宏伟,惠东.高比例新能源场景下“源网荷储”协同控制技术[J].中国电机工程学报,2024,44(5):1689-1702.

中国电力企业联合会. 中国新型电力系统发展报告2024[R].北京:中国电力出版社,2024.

Li X,Wang H,Zhang L.Coordinated scheduling of source-grid-load-storage under low-carbon demand response in new power systems[J].Renewable and Sustainable Energy Reviews,2024,198:113987.

华昊辰,李静,王磊.用能互联网中 “源网荷储” 多时间尺度动态能量管理[J].电力系统自动化,2023,47(12):89-97.

Wang Y,Li J,Zhang H.Evolutionary game analysis of multi-agent collaboration in source-grid-load-storage system under high renewable penetration[J].IEEE Transactions on Sustainable Energy,2023,14(2):987-998.

Zhang C,Chen X,Wang Z.Profit allocation for source-grid-load-storage system based on improved Shapley value method[J].Applied Energy,2024,351:122089.

马莉,李鹏,王蓓蓓.中国“源网荷储”收益分配机制适配性研究[J].电力自动化设备,2024,44(7):1-8.

赵亮,刘汉伟,王丹.考虑风险偏好的“源网荷储”收益分配模型[J].电力自动化设备,2023,43(8):123-130.

谢识予.经济博弈论[M].4版.上海:复旦大学出版社,2021:89-112.

袁广达,张思琪,吴优.基于演化博弈的“源网荷储”协同机制研究[J].电力建设,2025,46(2):45-53.

Chen Y,Liu Z,Li C.Dynamic profit allocation for virtual power plants considering multi-agent risk preference[J].Applied Energy,2023,342:121068.

刘敏,张涛,李明.区块链技术在“源网荷储”收益分配中的应用研究[J].电网技术,2023,47(9):3345-3353.

罗金满,刘丽媛,刘飘.碳市场下源网荷储主动配电网多主体收益博弈机制[J].电力系统保护与控制,2022,50(1):167-173.

王志刚,刘伟,陈明.高弃电风险地区新能源消纳激励机制研究[J].中国电力,2023,56(4):112-118.

崔杨,邓贵波,赵钰婷,等.考虑源荷低碳特性互补的含风电电力系统经济调度[J].中国电机工程学报,2021,41(14):4799-4815.

Kazlauskaitė J,Štreimikienė D,Baležentis T.Battery energy storage system (BESS) for frequency control in 100% renewable energy systems[J].Energies,2025,18(12):4282-4303.

陈海生,李建林,胡娟.中国新型储能发展报告2024[R].北京:科学出版社,2024.

吴丹曼,丁玉成,谢光龙.高比例分布式光伏园区源网荷储收益分摊模型[J].中国电力,2026,59(2):61-70.

Friedman D.Evolutionary games in economics[J].Econometrica,1991,59(3):637-666.

杨甲甲,赵俊华,文福拴,等.电力市场下多主体动态博弈的演化稳定性分析[J].电力系统自动化,2018,42(9):116-127.

甘肃省能源局.甘肃酒泉千万千瓦级风电基地“源网荷储”一体化示范项目2024年度运行报告[R].2024.

刘栋,汪泽超.常州武澄产业园源网荷储一体化综合能源系统运营模式与效益分析[J].综合电力系统及能源,2025,8(5):72-78.

耿光飞,赵旭,刘一桐.碳价波动下源网荷储协同优化与收益分配策略[J].电力建设,2025,46(3):132-140.

国网电力科学研究院.源网荷储协同仿真分析技术报告[R].南京:国网电力科学研究院,2024.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on the Development Path and System Construction of New-type Distribution System for Dual Carbon Goals

The Development Journey and Future Prospects of Informatization and Digital Intelligence in China's Distribution Network

Optimization of Site Selection and Land-use Planning Standards for 110 kV Substations Under New Power Systems: A Case Study of the Wuhan Power Grid

Development of an Electronic Identification Marker for Transmission Lines

Case Study on the Grid Integration Voltage Level of an Independent Energy Storage Station in a Wind Rich Region

Related Author

Xinyong FANG

Jianyong LIANG

Zhou Xin

Related Institution

State Grid Zhejiang Electric Power Co., Ltd. Jiaxing Power Supply Company

National Energy Administration Information Center, Beijing Xicheng

China Information Industry Association Energy Work Committee, Beijing Xicheng

Wuhan Planning and Design Institute (Wuhan Transport and Development Strategy Research Institute)

AI问答

⁰