基于区块链的微电网市场势博弈模型

周步祥; 杨明通; 史述青; 魏金萧; 李祖钢; 董申

doi:10.7500/AEPS20190308006

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基于区块链的微电网市场势博弈模型

区块链技术在电力系统中的应用 | 更新时间：2025-06-16

- 基于区块链的微电网市场势博弈模型
- Blockchain Based Potential Game Model of Microgrid Market
- 电力系统自动化-方正平台 2020年44卷第7期页码：15-22
- 作者机构：
  
  1. 四川大学电气工程学院,四川省成都市 610065
  2. 电子科技大学格拉斯哥学院，四川省成都市 611731
  3. 四川电力设计咨询有限责任公司，四川省成都市 610094
- 作者简介：
  
  周步祥(1965—)，男，博士，教授，硕士生导师，主要研究方向：调度自动化和电网规划。E-mail：hiway_scu@126.com
  杨明通(1992—)，男，通信作者，硕士研究生，主要研究方向：能源互联网及电力市场。E-mail：1228970075@qq.com
  史述青（1998—），男，本科，主要研究方向：电子技术及计算机应用技术。E-mail：2016200103033@std.uestc.edu.cn
- 基金信息：
- DOI：10.7500/AEPS20190308006
  中图分类号：
- 收稿日期：2019-03-08，
  
  修回日期：2019-09-23，
  
  网络出版日期：2020-02-21，
  
  纸质出版日期：2020-04-10
- 稿件说明：
移动端阅览
周步祥,杨明通,史述青等.基于区块链的微电网市场势博弈模型[J].电力系统自动化,2020,44(7):15-22.

ZHOU Buxiang,YANG Mingtong,SHI Shuqing,et al.Blockchain Based Potential Game Model of Microgrid Market[J].Automation of Electric Power Systems,2020,44(7):15-22.
周步祥,杨明通,史述青等.基于区块链的微电网市场势博弈模型[J].电力系统自动化,2020,44(7):15-22. DOI： 10.7500/AEPS20190308006.

ZHOU Buxiang,YANG Mingtong,SHI Shuqing,et al.Blockchain Based Potential Game Model of Microgrid Market[J].Automation of Electric Power Systems,2020,44(7):15-22. DOI： 10.7500/AEPS20190308006.

摘要

微电网是实现新能源优势互补、高效消纳和并网远送的有效形式。基于区块链与微电网市场相似的分布式拓扑结构，设计了微电网市场总体框架。综合考虑微电网市场经济性和能源利用情况，引入博弈理论和势博弈概念，将约束条件转化为状态空间，构造基于双向时变信息交互下状态量序数势博弈的微电网运行优化模型，并证明了该模型状态均衡的存在。在微电网市场不同信息交互的条件下，通过博弈中策略学习算法求解势博弈模型，实现微电网市场的运行优化。仿真结果表明，在微电网市场参与个体保持理性的情况下应用势博弈模型，能够使得微电网中各设备运行在最优水平，增加了微电网的经济收益，提高了新能源利用率。

Abstract

Microgrid is effective to realize the complementary advantages

efficient accommodation

and grid-connected long-distance transmission of renewable energies. Based on the distributed topological structure of blockchain similar to that of microgrid market

the overall framework of microgrid market is designed. Taking a full consideration of economy and energy utilization of microgrid market

this paper introduces the conceptions of game theory and potential game to convert constraints to state space

and build a microgrid operation optimization model based on the ordinal potential game of state variables with two-way time-varying information interaction. The state balance of this model is proved. In different information interaction conditions of microgrid market

the strategic learning algorithm of games is used to solve this potential game model

and the operation of microgrid market is optimized. Simulation results show that the application of this potential game model with rational microgrid participants enables all devices of the microgrid to operate at the optimal level

increases the revenue of the microgrid

and improves the utilization rate of renewable energy.

关键词

Keywords

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