A fuzzy logic energy management system for polygeneration microgrids
A fuzzy logic energy management system for polygeneration microgrids
复制标题
多联产微电网的模糊逻辑能量管理系统
DOI：
10.1016/j.renene.2011.11.019
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发表时间：
2012
期刊：
影响因子：
8.7
通讯作者：
G. Papadakis
中科院分区：
文献类型：
--
作者：
G. Kyriakarakos;A. Dounis;K. Arvanitis;G. Papadakis
本文介绍了一个自主多联产微电网的模糊逻辑能量管理系统（FLEMS）的设计和测试，通过仿真。在该微电网中，能量由光电转换器和风力涡轮机产生，其余部件包括电池组、质子交换膜（PEM）燃料电池、PEM电解槽、金属氢化物罐和使用能量回收的反渗透脱盐单元。微电网满足电力、运输和水的需求，因此其产品是电力、作为运输燃料的氢和通过脱盐获得的饮用水。最初采用ON/OFF方法来管理和控制设备。本文设计了一种基于模糊逻辑的新方法，并通过仿真进行了测试。被管理的设备是燃料电池、脱盐装置和电解装置。采用粒子群优化算法（PSO），开发了基于TRNOPT、Matlab、GenOpt 2.0和TRNOPT的设计工具。两个微电网的大小使用这个工具，以比较的性能FLEMS与ON/OFF的方法。结果表明，FLEMS更好地利用了系统中的可用能量，从而大大减小了部件的尺寸。
This paper presents the design and testing through simulation of a Fuzzy Logic Energy Management System (FLEMS) for an autonomous polygeneration microgrid. In this microgrid the energy is produced by photovoltaics and a wind turbine and the rest of the components include a battery bank, a Proton Exhange Membrane (PEM) fuel cell, a PEM electrolyzer, a metal hydride tank and a reverse osmosis desalination unit using energy recovery. The microgrid covers the electricity, transport and water needs and thus its products are power, hydrogen as transportation fuel and potable water through desalination. Initially an ON/OFF approach to the management and control of the devices was adopted. In this paper a new approach based on fuzzy logic was designed and tested through simulation. The devices being managed are the fuel cell, desalination unit and electrolyzer unit. A design tool based on TRNSYS 16, Matlab, GenOpt 2.0 and TRNOPT was developed using Particle Swarm Optimization (PSO) method. Two microgrids were sized using this tool in order to compare the performance of FLEMS with the ON/OFF approach. The results show that FLEMS utilizes the available energy in the system better and the components’ sizes are, thus, considerably decreased.