Improved Multiobjective Harmony Search Algorithm with Application to Placement and Sizing of Distributed Generation

被引:4
|
作者
Sheng, Wanxing [1 ]
Liu, Ke-yan [1 ]
Li, Yunhua [2 ]
Liu, Yuan [2 ]
Meng, Xiaoli [1 ]
机构
[1] Elect Power Res Inst China, Power Distribut Dept, Beijing 100192, Peoples R China
[2] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
EVOLUTIONARY ALGORITHMS; VOLTAGE STABILITY; LOSS REDUCTION; DG ALLOCATION; OPTIMIZATION;
D O I
10.1155/2014/871540
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
To solve the comprehensive multiobjective optimization problem, this study proposes an improved metaheuristic searching algorithm with combination of harmony search and the fast nondominated sorting approach. This is a kind of the novel intelligent optimization algorithm for multiobjective harmony search (MOHS). The detailed description and the algorithm formulating are discussed. Taking the optimal placement and sizing issue of distributed generation (DG) in distributed power system as one example, the solving procedure of the proposed method is given. Simulation result on modified IEEE 33-bus test system and comparison with NSGA-II algorithm has proved that the proposed MOHS can get promising results for engineering application.
引用
收藏
页数:8
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