On-line Optimal Shunt Capacitors Dispatch of Peak Power Systems

Author

Chen, Chao-Rong ; Lee, Hang-Sheng ; Tsai, Wenta

Author_Institution

Dept. of Electr. Eng., Nat. Taipei Univ. of Technol.

fYear

2005

fDate

2005

Firstpage

1

Lastpage

4

Abstract

This paper is proposed an on-line optimal shunt capacity dispatch of a transmission system. Firstly, the genetic algorithm is applied to do the optimal reactive power dispatch in order to control the buses voltages within the safety margins for peak power system. Simulation results show that the GA obtains the good performances on the power system. For the on-line dispatch, the artificial neural network is applied to learn the dispatch strategy by GA, and the data-reduction skill is used with principal component analysis. It can decrease the number of input and increase the speed of the artificial neural network to achieve on-line dispatch. The practical power system is simulated and received the excellent results

Keywords

learning (artificial intelligence); load dispatching; neural nets; power capacitors; power system simulation; power transmission control; principal component analysis; voltage control; artificial neural network; genetic algorithm; learning; on-line optimal shunt capacitors; power system dispatch; principal component analysis; reactive power dispatch; safety margins; transmission system; voltage control; Artificial neural networks; Capacitors; Control systems; Genetic algorithms; Optimal control; Power system analysis computing; Power system simulation; Power systems; Reactive power control; Voltage control; Genetic algorithm (GA); artificial neural network (ANN); optimal reactive power dispatch; principal component analysis (PCA); shunt capacitor;

fLanguage

English

Publisher

ieee

Conference_Titel

Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES

Conference_Location

Dalian

Print_ISBN

0-7803-9114-4

Type

conf

DOI

10.1109/TDC.2005.1547070

Filename

1547070