Multiobjective Coordinated Power Voltage Control Using Jumping Genes Paradigm

被引：27

作者：

Ma, H. M.

Ng, Kai-Tat ^{[2
]}

Man, Kim F. ^{[1
]}

机构：

[1] City Univ Hong Kong, Dept Elect Engn, Kowloon, Hong Kong, Peoples R China

[2] City Univ Hong Kong, Cooperat Educ Ctr, Kowloon, Hong Kong, Peoples R China

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2008年 / 55卷 / 11期

关键词：

Genetic algorithms (GAs); hierarchical genetic algorithm (HGA); jumping genes (JG); voltage control; voltage instability;

D O I：

10.1109/TIE.2008.928107

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A new jumping genes paradigm in the format of hierarchical genetic algorithm is proposed for optimizing the power voltage control systems. The advantage of this scheme is its unique capacity for finding the required solutions that can be used for stabilizing the progressive voltage drop or even voltage collapse of a power system. Because of the multiobjective classification, all these solutions could therefore form a landscape of control pattern which is aptly applicable to the control purpose of the coordinated voltage control system. The application of the proposed paradigm is verified upon the New England 39-bus power system. A tradeoff between the recovery time and the quality of voltage control exists and largely depends upon the number of steps for control actions.

引用

页码：4075 / 4084

页数：10

共 21 条

[1] A jumping gene paradigm for evolutionary multiobjective optimization [J].