Optimal allocation of wind turbines in microgrids by using genetic algorithm

被引：26
|
作者：
Mokryani, Geev [1 ]
Siano, Pierluigi [1 ]
Piccolo, Antonio [1 ]
机构：
[1] Univ Salerno, Dept Ind Engn, I-84084 Fisciano, SA, Italy
来源：
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING | 2013年 / 4卷 / 06期
关键词：
Wind turbines; Microgrid operators; Genetic algorithm; Social welfare; DISTRIBUTED GENERATION; ENERGY;
D O I：
10.1007/s12652-012-0163-6
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a hybrid optimization method to optimally allocate wind turbines (WTs) in microgrids is proposed. The method combines genetic algorithm (GA) and optimal power flow (OPF) to jointly minimize total active power losses and maximize social welfare considering different combinations of wind generation and load demand over a year. The GA is used to choose the optimal size while the OPF to determine the optimal number of WTs at each candidate bus. The method is applied by microgrid operators to find the optimal numbers and sizes of WTs among different potential combinations. The effectiveness of the proposed method is demonstrated with an 83-bus 11.4 kV microgrid.
引用
收藏
页码：613 / 619
页数：7
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