Blockchain Based Potential Game Model of Microgrid Market

Buxiang ZHOU; Mingtong YANG; Shuqing SHI; Jinxiao WEI; Zugang LI; Sheng DONG

doi:10.7500/AEPS20190308006

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Blockchain Based Potential Game Model of Microgrid Market

Application of Blockchain Technology in Power System | 更新时间：2025-06-16

- Blockchain Based Potential Game Model of Microgrid Market
- Automation of Electric Power Systems Vol. 44, Issue 7, Pages: 15-22(2020)
- 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：
- 基金信息：
- DOI：10.7500/AEPS20190308006
  CLC：
- Received：08 March 2019，
  
  Revised：2019-09-23，
  
  Published Online：21 February 2020，
  
  Published：10 April 2020
- 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

references

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