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

被引:397
作者
Dufo-Lopez, Rodolfo [1 ]
Bernal-Agustin, Jose L. [1 ]
机构
[1] Univ Zaragoza, Dept Elect Engn, Zaragoza 50018, Spain
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
收藏
页码:2559 / 2572
页数:14
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