DocumentCode :
1269431
Title :
Network equivalents and expert system application for voltage and VAR control in large-scale power systems
Author :
Le, Tan LOC ; Negnevitsky, Michael ; Piekutowski, Marian
Author_Institution :
Tasmania Univ., Hobart, Tas., Australia
Volume :
12
Issue :
4
fYear :
1997
fDate :
11/1/1997 12:00:00 AM
Firstpage :
1440
Lastpage :
1445
Abstract :
This paper presents an application of the steady-state network equivalents and an expert system for voltage and reactive power (VAr) control in large-scale power systems. A steady-state network equivalencing technique is used to construct the “three-tier” subsystem which is adequate to solve voltage violation problems. An expert system utilises the sensitivity tree method to select the optimal set of control actions to alleviate the voltage problem. The expert system was developed using the VP-EXPERT system shell. VP-EXPERT interacts with the power system analysis software providing analysis of the network sensitivity matrix and data for the knowledge base. Practical application of the developed expert system is demonstrated on the example of the Hydro-Electric Commission (HEC) power system of Tasmania, however the proposed approach is not limited by the system size
Keywords :
control system analysis computing; equivalent circuits; expert systems; large-scale systems; power system analysis computing; power system control; reactive power control; sensitivity analysis; voltage control; VAr control; VP-EXPERT system shell; equivalencing technique; expert system; knowledge base; large-scale power system automation; network sensitivity matrix; power system analysis software; sensitivity tree method; steady-state network equivalents; three-tier subsystem; voltage control; voltage violation problems; Control systems; Expert systems; Large-scale systems; Power system analysis computing; Power system control; Power systems; Reactive power; Reactive power control; Steady-state; Voltage control;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.627839
Filename :
627839
Link To Document :
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