A fast adaptive MOEA and its application to dynamic reactive power optimization

Author

Zhu, Yi ; Zhang, Anan

Author_Institution

Coll. of Software Eng., Chengdu Univ. of Inf. Technol., Chengdu, China

Volume

4

fYear

2010

fDate

16-18 April 2010

Abstract

Multi-objective Evolutionary Algorithm (MOEA) has been applied to calculate many optimization problems in electrical system. But it is very difficult to use MOEA to handle dynamic reactive power optimization due to its high computing complexity. An adaptive ε domination technology was applied to facilitate calculate dynamic reactive power optimization in this paper. The method includes 2 stages to complete the calculation: 1st one is to get initial solutions for the 1st hour condition of a day, the 2nd one is to handle the succedent 23 hours conditions as a whole. The approach has been verified by the numerical simulation on IEEE 30 bus test system.

Keywords

evolutionary computation; reactive power; IEEE 30 bus test system; adaptive ε domination technology; computing complexity; dynamic reactive power optimization; electrical system; fast adaptive MOEA; multiobjective evolutionary algorithm; numerical simulation; Application software; Capacitors; Dynamic programming; Dynamic voltage scaling; Educational institutions; Nonlinear dynamical systems; Power system modeling; Reactive power; Software engineering; Voltage control; ε domination; MOEA; dynamic reactive power optimization; multi-objective;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Engineering and Technology (ICCET), 2010 2nd International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-6347-3

Type

conf

DOI

10.1109/ICCET.2010.5485678

Filename

5485678