Title :
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
fDate :
1/1/1990 12:00:00 AM
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;
Journal_Title :
Power Delivery, IEEE Transactions on
