期刊
IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY
卷 -, 期 -, 页码 1803-1807出版社
IEEE
DOI: 10.1109/iecon43393.2020.9254619
关键词
Fuzzy Logic Control; Multi Micro-Grid System (MMGS); Hybrid Energy Storage Systems (HESS); Energy Management
This paper investigates some issues associated with the power sharing in the Hybrid Energy Storage System (HESS) in the Multi Micro- Grid System (MMGS) to meet the load demands. To address this problem in isolated microgrids, which often arises in emergency situations, the present study proposes an efficient energy management system (EMS) which operates the battery and supercapacitor (SC) based on their State of Charge (SOC) level using fuzzy logic based control algorithm.The optimal amount of charging/discharging of the battery and SC is decided by the fuzzy inference system (FIS). Simulations are carried out by creating a microgrid test bench for fuzzy logic system (FLS) in MATLAB/Simulink environment. The performance of the proposed approach is validated considering different modes of operation and loading conditions and found to be satisfactory.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据