摘要
传统集中交易模式在处理高频、小量的微电网群电能交易时存在运行成本高、信息不安全等弊端。提出了一种基于区块链的微电网群分布式电能交易模型,并设计了与之匹配的智能合约。首先,针对统一定价的过网费收取方式未按配电网实际运营成本公平分摊到每笔交易的不足,基于功率传输分布因子提出考虑配电网多项运行成本的动态过网费模型。其次,为保证市场主体的用能偏好,构建计及用户信用值偏好的购电目标策略函数,并采用改进粒子群算法对交易撮合过程进行求解。再次,为提高交易效率及维持配电网的安全运行,采取自适应进取型策略进行报价更新,并设计多轮滚动的约束校核法对配电网进行安全校核。最后,在Matlab仿真平台及以太坊电能交易平台验证了所提交易模型的合理性和智能合约的有效性。
The traditional centralized transaction mode has some defects,such as high operating cost and information insecurity,when dealing with high frequency and small amount of electricity transaction in microgrid cluster.Therefore,this paper proposes a distributed electricity transaction model of microgrid cluster applying blockchain technology,and designs the corresponding smart contract.Firstly,for the deficiency that unified pricing charging method of network fee is not fairly allocated to each transaction according to the actual operating cost of distribution network,a dynamic network fee model considering multiple operation costs of distribution network is proposed on the basis of power transfer distribution factors.Secondly,in order to ensure the preference of market subjects,an objective strategy function of power purchase considering user credit preference is established,and the improved particle swarm algorithm is used to solve matching process of transaction.Thirdly,this paper adopts self-adaptive aggressive strategy to update the quotation for transaction efficiency,and proposes the multi-round rolling constraint checking method to maintain safe operation of distribution network.Ultimately,the relevant case studies verify the rationality of the proposed model and smart contract.
作者
朱廷虎
刘洋
许立雄
饶萍
李振伟
吴涵
ZHU Tinghu;LIU Yang;XU Lixiong;RAO Ping;LI Zhenwei;WU Han(College of Electrical Engineering,Sichuan University,Chengdu 610065,China)
出处
《电力建设》
CSCD
北大核心
2022年第6期12-23,共12页
Electric Power Construction
基金
四川省科技计划资助(2021YFSY0019)
国网四川省电力公司项目“基于区块链及智能合约技术的社区能源互联网集群电能分布式交易模式构建分析”(B7199721B017)。
关键词
区块链
微电网群
分布式电能交易
动态过网费
信用值偏好
blockchain
microgrid cluster
distributed electricity transaction
dynamic network fee
credit preference