联盟链框架下主动配电网电力交易主体合作演化策略  

Cooperative Evolutionary Game Strategy for Electricity Trading Stakeholders in Active Distribution Network under Consortium Blockchain Framework

作　　者：叶畅 苗世洪 刘昊[3] 张迪 赵健 Ye Chang;Miao Shihong;Liu Hao;Zhang Di;Zhao Jian(State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology,Wuhan 430074 China;Hubei Electric Power Security and High Efficiency Key Laboratory School of Electrical and Electronic Engineering Huazhong University of Science and Technology,Wuhan 430074 China;State Grid Henan Electric Power Company Electric Power Research Institute,Zhengzhou 450052 China)

机构地区：[1]华中科技大学电气与电子工程学院强电磁工程与新技术国家重点实验室,武汉430074 [2]华中科技大学电气与电子工程学院电力安全与高效湖北省重点实验室,武汉430074 [3]国网河南省电力公司电力科学研究院,郑州450052

出　　处：《电工技术学报》2020年第8期1739-1753,共15页Transactions of China Electrotechnical Society

基　　金：国家自然科学基金项目(51777088);2018年国家电网公司总部科技项目(SGHADK00PJJS1800072);国家重点基础研究发展计划项目(973计划)(2015CB251301)资助。

摘　　要：传统电力交易模式中,集中化的交易数据以及中心化的监管机构会带来数据安全性较低、监管机构信任危机等问题,区块链技术的兴起和发展为解决上述问题提供新的思路和方法。首先通过分析主动配电网中各电力交易主体的行为特征,建立基于联盟区块链的电力市场交易体系。该体系将各电力交易主体预授权为半开放的本地节点,通过动态选取联盟节点,可实现交易数据分布式存储并无需设置额外的第三方监管机构。同时基于上述交易体系,提出联盟链框架下主动配电网电力交易的详细认证方法。进而在此基础上,建立基于合作演化博弈的主动配电网电力交易优化模型,并采用基于分解的多目标进化算法进行求解。模型求解结果可作为生成智能合约的依据,最终实现联盟链框架下主动配电网电力交易的决策优化。算例结果验证了所提合作演化策略的有效性和合理性。In the traditional electricity trading mode,centralized transaction data and regulatory agency will bring the issues such as low data security and regulatory trust crisis.The rise and development of blockchain technology provides new ideas and methods for solving these problems.Firstly,by analyzing behavior characteristics of electricity trading stakeholders(ETSs)in the active distribution network(ADN),a electricity market trading system is established under consortium blockchain framework.This system pre-authorizes each ETS as a semi-open local node.Through the dynamic selection of alliance node,distributed storage of transaction data can be realized without additional third-party regulatory agency.Then a detailed certification method for electricity trading in AND is proposed.Furthermore,a cooperative evolutionary game model of ETSs is established,and a multi-objective evolutionary algorithm based on decomposition is utilized to solve this model.The solution results can be used as a basis for generating smart contracts,and realize the decision-making optimization for electricity trading in ADN.Finally,the case study verify the proposed strategy.

关 键 词：联盟区块链 电力交易 合作演化 多目标进化算法 主动配电网 

分 类 号：TM73[电气工程—电力系统及自动化]