Demand-side Response Strategy of Multi-microgrids Based on an Improved Co-evolution Algorithm
作者机构：Key Laboratory of Control of Power Transmission and ConversionShanghai Jiao Tong UniversityShanghai 200240China
出 版 物：《CSEE Journal of Power and Energy Systems》 (中国电机工程学会电力与能源系统学报（英文）)
年 卷 期：2021年第7卷第5期
页 面：903-910页
核心收录：
学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学]
基 金：supported by the Shanghai Sailing Program(20YF1418800) outstanding Ph.D.graduate development scholarship of Shanghai Jiao Tong University
主 题：Terms—Co-evolution demand-side response multi-microgrids source-load-storage coordination.
摘 要：An effective modeling and optimization method,which takes into account source-load-storage coordination,and full-time collaborative optimization within and outside micro-grids,is *** the operational conditions of various resources and their interactions,an energy management model for microgrids is proposed aiming at maximization of renewable energy utilization and minimization of overall system *** model is suitable for both real-time pricing and time-of-use *** microgrids,demand response and economic energy storage dispatch are introduced to enhance selfcoordination and self-balancing ability among different *** on whether there is still an imbalance between supply and demand after coordination within a niicrogrid,trade between it and external microgrids are optimized in a orderly manner by considering different transaction prices and usage ***,three different schemes are designed,where the Lagrangian multiplier method as well as a co-evolution algorithm are used to solve and analyze different examples,verifying the reliability and validity of the method proposed in this paper.
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