电测与仪表2024，Vol.61Issue(3)：124-131,8.DOI:10.19753/j.issn1001-1390.2024.03.017
基于区块链的配电网能效自动化管理方法
Automatic management method for energy efficiency of distribution network based on block chain
摘要
Abstract
With the development of renewable energy and the spread of distributed generation,energy efficiency manage-ment on the power grid demand side will gradually shift from centralized optimal scheduling calculation to distributed compu-ting.The progress of Internet of things and block chain technology will provide the technical foundation for the distributed system of energy efficiency management system.In this paper,a multi-user distributed energy efficiency management system based on Internet of things smart meter and micro-grid is proposed,and the scheduling calculation of household appliances is carried out through the non-cooperative game theory model,which successfully achieves the goal of reducing the household electricity expenditure of users and the total micro-grid energy consumption cost of the whole community.Users can choose to purchase electricity among three kinds of household distributed energy,community micro-grid and public grid,and optimize their daily household appliance use strategies in the game,so that all users in the market can reduce the energy consumption cost to the minimum and achieve Nash equilibrium.On this basis,the model uses block chain technology to provide reliable,secure and private communication media between participants,so as to realize intelligent monitoring of household appliances of users and charge electricity consumption through smart contracts.The results of an example analysis show that this method can reduce the total energy consumption cost and the energy consumption cost of each user to the greatest extent.关键词
能效管理/区块链/调度/配电自动化/非合作博弈论Key words
energy efficiency management/block chain/scheduling/distribution automation/non-cooperative game theory分类
动力与电气工程引用本文复制引用
范伟,王东杰,张智远,刘卫强,沈宏亮,华蕾..基于区块链的配电网能效自动化管理方法[J].电测与仪表,2024,61(3):124-131,8.基金项目
国家自然科学基金资助项目(61873225) （61873225）
