Multi-objective design of PV-wind-diesel-hydrogen-battery systems

被引：392

作者：

Dufo-Lopez, Rodolfo ^{[1
]}

Bernal-Agustin, Jose L. ^{[1
]}

机构：

[1] Univ Zaragoza, Dept Elect Engn, Zaragoza 50018, Spain

来源：

RENEWABLE ENERGY | 2008年 / 33卷 / 12期

关键词：

hybrid systems; multi-objective design; multi-objective evolutionary algorithms; genetic algorithms;

D O I：

10.1016/j.renene.2008.02.027

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This paper presents, for the first time, a triple multi-objective design of isolated hybrid systems minimizing, simultaneously, the total cost throughout the useful life of the installation, pollutant emissions CO2) and unmet load. For this task, a multi-objective evolutionary algorithm (MOEA) and a genetic algorithm (GA) have been used in order to find the best combination of components of the hybrid system and control strategies. As an example of application, a complex PV-wind-diesel-hydrogen-battery system has been designed, obtaining a set of possible solutions (Pareto Set). The results achieved demonstrate the practical utility of the developed design method. (c) 2008 Elsevier Ltd. All rights reserved.

引用

页码：2559 / 2572

页数：14

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