A fuzzy decision making energy management system for a PV/Wind renewable energy system

O. Mengi, I. Altas
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引用次数: 16

Abstract

In this paper, a smart energy management consist of Photovoltaic/Wind (PV/W) renewable energy resources is studied. Since the operation performances of such sources are not the same for different hours of a day as well as different seasons of a year, an Energy Management System is required to a sustainable energy supply for users. An EMS using a Fuzzy Decision Making (FDM) process is proposed in this study in order to manage the supply power from PV/W to loads. The proposed FDM based Smart Management System (SMS) determines the switching sequences of the PV/W system considering both the environmental conditions and power demands by loads. In order to prevent power supply discontinuity to loads during the switching from one source to another, an algorithm is included in the SMS. The proposed FDM based SMS is modeled in Matlab/Simulink and tested on real time in a laboratory environment in order to validate the operating performances.
光伏/风能可再生能源系统的模糊决策能源管理系统
本文研究了由光伏/风能(PV/W)可再生能源组成的智能能源管理。由于这些能源在一天中的不同时段和一年中的不同季节的运行性能不尽相同,因此需要能源管理系统为用户提供可持续的能源供应。本文提出了一种基于模糊决策(FDM)的电力管理系统,用于管理光伏发电对负荷的供电功率。本文提出的基于FDM的智能管理系统(SMS)在考虑环境条件和负载功率需求的情况下,确定光伏/W系统的切换顺序。为了防止电源切换过程中负载的供电中断,在SMS中引入了一种算法。在Matlab/Simulink中对基于FDM的SMS进行了建模,并在实验室环境中进行了实时测试,以验证其运行性能。
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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