Decentralised strategy for energy management of collaborative microgrids using multi-agent system

IF 2.4 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
IET Smart Grid Pub Date : 2022-07-05 DOI:10.1049/stg2.12077
Abdallah El Zerk, Mohammed Ouassaid, Youssef Zidani
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引用次数: 5

Abstract

In this study, the concept of collaborative microgrids (MGs) with shareable resources is introduced. The developed concept enables the householders of an isolated district or neighbourhood to cooperate and communicate intelligently in order to establish a reliable and proprietary MG. Therefore, a multi-agent system solution for a distributed energy management system is designed. The proposed approach should first supply households while maintaining MG stability. Second, it offers designers decent programing flexibility and ensures system adaptability when households are added or removed. Three agents are developed, the nanogrid (NG) agent which handles the centralised energy management of the NG and messages the Master agent with the necessary information. The Master agent is responsible for the decentralised management of energy over the microgrid and controls the switches. The management strategy using multi-agent systems aims to encourage customers considered as NG to contribute energy to the MG. The strategy relies on the implementation of a point-based remuneration model in which the collected points depend on the contribution. The results highlight the importance of the proposed approach, which can be exploited to connect and supply isolated facilities intelligently.

Abstract Image

基于多智能体系统的协同微电网分散能源管理策略
在本研究中,引入了具有共享资源的协同微电网的概念。开发的概念使一个孤立的地区或社区的住户能够智能地合作和交流,以建立一个可靠和专有的MG。为此,设计了分布式能源管理系统的多智能体系统解决方案。首先要在维持MG稳定的前提下供给家庭。其次,它为设计师提供了良好的编程灵活性,并确保系统在增加或删除家庭时的适应性。开发了三个代理,纳米网格(NG)代理处理NG的集中能量管理,并向主代理发送必要的信息。主代理负责对微电网的能量进行分散管理,并控制开关。使用多代理系统的管理策略旨在鼓励被视为NG的客户为MG贡献能源。该战略依赖于基于点数的薪酬模式的实施,其中收集的点数取决于贡献。结果强调了所提出的方法的重要性,该方法可以用于智能地连接和供应孤立的设施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IET Smart Grid
IET Smart Grid Computer Science-Computer Networks and Communications
CiteScore
6.70
自引率
4.30%
发文量
41
审稿时长
29 weeks
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