Optimized fuzzy-cuckoo controller for active power control of battery energy storage system, photovoltaic, fuel cell and wind turbine in an isolated micro-grid

被引：16

作者：

Einan M. ^{[1
]}

Torkaman H. ^{[1
]}

Pourgholi M. ^{[1
]}

机构：

[1] Faculty of Electrical Engineering, Shahid Beheshti University, Tehran

来源：

Batteries | 2017年 / 3卷 / 03期

关键词：

Active power control; Battery energy storage system; Cuckoo optimization algorithm; Fuel cell; Genetic algorithm; Isolated micro-grid; Optimal fuzzy logic controller; Photo-voltaic;

D O I：

10.3390/batteries3030023

中图分类号：

学科分类号：

摘要：

This paper presents a new control strategy for isolated micro-grids including wind turbines (WT), fuel cells (FC), photo-voltaic (PV) and battery energy storage systems (BESS). FC have been used in parallel with BESSs in order to increase their lifetime and efficiency. The changes in some parameters such as wind speed, sunlight, and consumption, lead to improper performance of droop. To overcome this challenge, a new intelligent method using a combination of fuzzy controller and cuckoo optimization algorithm (COA) techniques for active power controllers in isolated networks is proposed. In this paper, COA is compared with genetic algorithm (GA) and particles swarm optimization algorithm (PSO). In order to show efficiency of the proposed controller, this optimal controller has been compared with droop, optimized droop, and conventional fuzzy methods, the dynamic analysis of the island is implemented to assess the behavior of isolated generations accurately and simulation results are reported. © 2017 by the authors. Licensee MDPI, Basel, Switzerland.

引用

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