Title :
Fuzzy techniques for voltage control on the NGC system
Author :
Laughton, M.A. ; Hawken, A. ; Chui, D. ; Ekwue, A.O. ; Macqueen, J.F. ; Taylor, A.
Author_Institution :
Queen Mary & Westfield Coll., London, UK
Abstract :
This paper discusses some aspects of fuzzy systems theory as applied to the NGC power system problem of voltage-VAr control. A preliminary investigation is reported defining a prototype knowledge base structure, establishing an appropriate knowledge representation, describing the necessary software which was written interfacing internal software representing the system simulation (Fast AC Loadflow) and the intelligent expert system software (GENESIA supplied by EDF) and demonstrating fuzzy control applications by experimental runs based on heuristically derived sensitivity relationships.
Keywords :
fuzzy control; knowledge representation; power system analysis computing; power system computer control; voltage control; Fast AC Loadflow; GENESIA; NGC power system; National Grid Company; VAr control; fuzzy control; fuzzy systems; heuristically derived sensitivity relationships; intelligent expert system software; internal software; knowledge base structure; system simulation; voltage control;
Conference_Titel :
Control, 1994. Control '94. International Conference on
Conference_Location :
Coventry, UK
Print_ISBN :
0-85296-610-5
DOI :
10.1049/cp:19940122