A novel optimization algorithm for optimal reactive power dispatch: A comparative study

Author

Nakawiro, Worawat ; Erlich, István ; Rueda, José Luis

Author_Institution

Inst. of Electr. Power Syst. (EAN), Univ. of Duisburg-Essen, Duisburg, Germany

fYear

2011

fDate

6-9 July 2011

Firstpage

1555

Lastpage

1561

Abstract

Optimal reactive power dispatch (ORPD) is a key instrument to achieve secure and economic operation of power systems. Due to complex characteristics of ORPD, heuristic optimization has become an effective solver. A novel heuristic optimization algorithm namely the Mean-Variance Mapping Optimization (MVMO) is proposed to handle the ORPD problem. The concept, mechanism and implementation of MVMO are discussed in this paper. Based on the IEEE 57- and 118- bus systems, MVMO is compared with some basic and enhanced evolutionary algorithms. Simulation results show that MVMO is an excellent algorithm for ORPD and should deserve more attention. The superiority to the other algorithms is very pronounced in the IEEE 118-test case.

Keywords

evolutionary computation; optimisation; power generation dispatch; power generation economics; reactive power; IEEE 118-bus systems; IEEE 57-bus systems; economic operation; effective solver; evolutionary algorithms; heuristic optimization; mean-variance mapping optimization; optimal reactive power dispatch; power systems; secure operation; Convergence; Generators; Load flow; Optimization; Reactive power; Shunt (electrical); Heuristic optimization; Mean-Variance Mapping Optimization; Reactive power dispatch;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2011 4th International Conference on

Conference_Location

Weihai, Shandong

Print_ISBN

978-1-4577-0364-5

Type

conf

DOI

10.1109/DRPT.2011.5994144

Filename

5994144