A Novel Optimal Control and Management Strategy of Stand-Alone Hybrid PV/Wind/Diesel Power System

被引：14

作者：

Bouchebbat R. ^{[1
]}

Gherbi S. ^{[1
]}

机构：

[1] Laboratory of Automation of Skikda, Department of Electrical Engineering, University of Skikda, Route d’el Hadaik, B.P 26, Skikda

来源：

Journal of Control, Automation and Electrical Systems | 2017年 / 28卷 / 02期

关键词：

Genetic optimization; Hybrid power system; Multivariable control system; Renewable energy;

D O I：

10.1007/s40313-016-0290-y

中图分类号：

学科分类号：

摘要：

This paper presents a new control and management strategy of a stand-alone hybrid photovoltaic/wind/diesel power system. The model is considered as a one multi-input single-output system, where both controllers of the wind and the solar systems are tuned simultaneously by the resolution of a multi-objective optimization problem using genetic algorithm. The produced energy is managed over a switching method to meet the consumer demand. The proposed approach permits advantageous energy optimization of the hybrid system and gives better performances compared to the traditional decentralized control methods. The control and management strategy is applied to design a hybrid power system for a farm located in Skikda Algeria, with a load demand of 27.4 kWh/day. The simulation results prove the effectiveness of the presented approach compared to conventional one. © 2016, Brazilian Society for Automatics--SBA.

引用

页码：284 / 296

页数：12

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