Neural-net based real-time control of capacitors installed on distribution systems

Author

Santoso, N. Iwan ; Tan, Owen T.

Author_Institution

Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA, USA

Volume

5

Issue

1

fYear

1990

fDate

1/1/1990 12:00:00 AM

Firstpage

266

Lastpage

272

Abstract

An expert system using a two-stage artificial neural network is proposed to control in real time multicap capacitors installed on a distribution system for a nonconforming load profile such that the system losses are minimized. The required input data are directly obtained from online measurements which include the active and reactive line power flows, voltage magnitudes, and the current capacitor settings at certain buses. The optimum control does not involve any iteration procedure; therefore, it is computationally very efficient. Studies on a 30-bus distribution test system show the expert system to have quite satisfactory results

Keywords

distribution networks; expert systems; neural nets; power capacitors; power system computer control; active line power flows; capacitors; control; distribution systems; expert system; multicap capacitors; nonconforming load profile; online measurements; reactive line power flows; real-time control; two-stage artificial neural network; voltage magnitudes; Artificial neural networks; Capacitors; Control systems; Current measurement; Expert systems; Load flow; Power measurement; Real time systems; System testing; Voltage;

fLanguage

English

Journal_Title

Power Delivery, IEEE Transactions on

Publisher

ieee

ISSN

0885-8977

Type

jour

DOI

10.1109/61.107283

Filename

107283