Application of evolutionary programming to reactive power planning-comparison with nonlinear programming approach

Author

Lai, L.L. ; Ma, J.T.

Author_Institution

Dept. of Electr. Electron. & Inf. Eng., City Univ., London, UK

Volume

12

Issue

1

fYear

1997

fDate

2/1/1997 12:00:00 AM

Firstpage

198

Lastpage

206

Abstract

This paper proposes an application of evolutionary programming (EP) to reactive power planning (RPP). Several techniques have been developed to make EP practicable to solve a real power system problem and other practical problems. The proposed approach has been used in the IEEE 30-bus system and a practical power system. For illustration purposes, only results for the IEEE 30-bus system are given. Simulation results, compared with those obtained by using a conventional gradient-based optimization method, Broyden´s method, are presented to show that the present method is better for power system planning. In the case of optimization of noncontinuous and nonsmooth functions, EP is much better than nonlinear programming. The comprehensive simulation results show a great potential for applications of EP in power system economical and secure operation, planning and reliability assessment

Keywords

optimisation; power system analysis computing; power system planning; reactive power; Broyden´s method; IEEE 30-bus system; computer simulation; evolutionary programming; noncontinuous functions; nonsmooth functions; power systems; reactive power planning; Artificial intelligence; Costs; Genetic programming; Optimization methods; Power engineering and energy; Power system planning; Power system reliability; Power system security; Power system simulation; Reactive power;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.574940

Filename

574940