DocumentCode :
41906
Title :
Operation Optimization of Standalone Microgrids Considering Lifetime Characteristics of Battery Energy Storage System
Author :
Bo Zhao ; Xuesong Zhang ; Jian Chen ; Caisheng Wang ; Li Guo
Author_Institution :
Res. Inst., Zhejiang Electr. Power Corp., Hangzhou, China
Volume :
4
Issue :
4
fYear :
2013
fDate :
Oct. 2013
Firstpage :
934
Lastpage :
943
Abstract :
Standalone microgrids with renewable sources and battery storage play an important role in solving power supply problems in remote areas such as islands. To achieve reliable and economic operations of a standalone microgrid, in addition to the consideration of utilization of renewable resources, the lifetime characteristics of a battery energy storage system also need to be fully investigated. In this paper, in order to realize the economic operation of a recently developed standalone microgrid on Dongfushan Island in China, an optimization model including battery life loss cost, operation and maintenance cost, fuel cost, and environmental cost is established to obtain a set of optimal parameters of operation strategy. Considering the lifetime characteristics of lead-acid batteries, a multiobjective optimization to minimize power generation cost and to maximize the useful life of lead-acid batteries has been achieved via the nondominated sorting genetic algorithm (NSGA-II). The results show that the proposed method can optimize the system operations under different scenarios and help users obtain the optimal operation schemes of the actual microgrid system.
Keywords :
battery storage plants; costing; distributed power generation; genetic algorithms; lead acid batteries; maintenance engineering; power generation economics; China; NSGA-II; battery energy storage system; battery life loss cost; economic operation; lead-acid batteries; lifetime characteristics; maintenance cost; microgrid system; multiobjective optimization; nondominated sorting genetic algorithm; operation cost; operation optimization; operation strategy; optimization model; power generation cost; power supply problems; renewable sources; standalone microgrids; Energy storage; Genetic algorithms; Microgrids; Lead–acid batteries; life characteristics; multiobjective; nondominated sorting genetic algorithm (NSGA-II); operation optimization; standalone microgrid;
fLanguage :
English
Journal_Title :
Sustainable Energy, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3029
Type :
jour
DOI :
10.1109/TSTE.2013.2248400
Filename :
6510510
Link To Document :
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