Title : 
Evaluation of load shedding to prevent dynamic voltage instability based on extended fuzzy reasoning
         
        
            Author : 
Tso, S.K. ; Zhu, T.X. ; Zeng, O.Y. ; Lo, K.L.
         
        
            Author_Institution : 
Centre for Intelligent Design, Autom. & Manuf., City Univ. of Hong Kong, Hong Kong
         
        
        
        
        
            fDate : 
3/1/1997 12:00:00 AM
         
        
        
        
            Abstract : 
A reliable load-shedding approach, which makes use of a knowledge base and extended fuzzy reasoning, is proposed to arrest dynamic voltage insecurity following a disturbance. Irrespective of the nature of the dynamic voltage instability, the location and required amount of load shedding among load control buses can be promptly presented in real-time to the system operators. In the development of this scheme, load control buses are then correlated with the real load-shedding amounts decided during the offline simulation study. The load-shedding amount for previously unseen operating cases at each load control bus can be conservatively predicted according to the zone within which the fuzzy indicator falls
         
        
            Keywords : 
control system analysis; fuzzy control; load shedding; power system control; power system security; power system stability; control simulation; disturbance; dynamic voltage instability; extended fuzzy reasoning; load control buses; load shedding; offline simulation study; power systems;
         
        
        
            Journal_Title : 
Generation, Transmission and Distribution, IEE Proceedings-
         
        
        
        
        
            DOI : 
10.1049/ip-gtd:19970946