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

Wanxing Sheng | Zendy; Keyan Liu | Zendy; Yunhua Li | Zendy; Yuan Liu | Zendy; Xiaoli Meng | Zendy

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

Author(s) -

Wanxing Sheng,

Keyan Liu,

Yunhua Li,

Yuan Liu,

Xiaoli Meng

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/871540

Subject(s) - harmony search , sizing , sorting , mathematical optimization , computer science , multi objective optimization , metaheuristic , algorithm , mathematics , art , visual arts

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

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