Title :
Capacitor allocation by approximate reasoning: fuzzy capacitor placement
Author :
Ng, H.N. ; Salama, M.M.A. ; Chikhani, A.Y.
Author_Institution :
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
fDate :
1/1/2000 12:00:00 AM
Abstract :
The problem of capacitor allocation in electric distribution systems involves maximizing energy and peak power (demand) loss reductions by means of capacitor installations. This paper presents a novel approach using approximate reasoning to determine suitable candidate nodes in a distribution system for capacitor placement. Voltages and power loss reduction indices of distribution system nodes are modeled by fuzzy membership functions. A fuzzy expert system (FES) containing a set of heuristic rules is then used to determine the capacitor placement suitability of each node in the distribution system. Capacitors are placed on the nodes with the highest suitability. Simulation results show the advantages of this approach over previous capacitor placement algorithms
Keywords :
approximation theory; expert systems; fuzzy set theory; power capacitors; power distribution planning; power system analysis computing; approximate reasoning; candidate nodes; capacitor allocation; computer simulation; electric distribution systems; fuzzy capacitor placement; fuzzy expert system; fuzzy membership functions; loss reductions maximisation; power loss reduction indices; voltage loss reduction indices; Capacitors; Fuzzy reasoning; Hybrid intelligent systems; Knowledge based systems; Load forecasting; Power demand; Power system planning; Power system restoration; Power system security; Voltage;
Journal_Title :
Power Delivery, IEEE Transactions on
