DocumentCode :
2311061
Title :
Volt/VAr control in distribution systems by fuzzy multiobjective and particle swarm
Author :
Auchariyamet, S. ; Sirisumrannukul, S.
Author_Institution :
Dept. of Electr. Eng., King Mongkut´´s Univ. of Technol., Bangkok, Thailand
fYear :
2009
fDate :
6-9 May 2009
Firstpage :
234
Lastpage :
237
Abstract :
This paper presents the optimal dispatch for the under load tap changer (ULTC) of a substation transformer, substation capacitors, and feeder capacitors for volt/VAr control in a distribution system. Three objectives of interest in the problem consist of energy loss, total capacitor kVAr to be switched on, and total number of daily switching operations of the ULTC and all capacitors. The optimization problem is subjected to power flow equations, voltage limits, and maximum switching operations for the ULTC and the capacitors. All the objectives are fuzzified using a trapezoidal membership function and are integrated to represent the fuzzy decision value. Fuzzy multiobjective and particle swarm optimization are employed to determine the optimal dispatch schedule that provides the best compromise among all the objectives. The methodology is demonstrated by a 29-bus distribution system of Provincial Electricity Authority (PEA), Thailand.
Keywords :
fuzzy control; load dispatching; load flow; on load tap changers; particle swarm optimisation; power capacitors; power distribution control; reactive power control; substations; voltage control; 29-bus distribution system; daily switching operation; feeder capacitors; fuzzy decision value; fuzzy multiobjective; optimal dispatch schedule; particle swarm optimization; power flow equation; reactive power control; substation capacitors; substation transformer; switching operation; trapezoidal membership function; under load tap changer; voltage control; Capacitors; Control systems; Energy loss; Fuzzy control; Fuzzy systems; Load flow; Optimal control; Particle swarm optimization; Reactive power; Substations; Distribution system; Fuzzy multiobjective; Particle swarm optimization; Volt/VAr control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2009. ECTI-CON 2009. 6th International Conference on
Conference_Location :
Pattaya, Chonburi
Print_ISBN :
978-1-4244-3387-2
Electronic_ISBN :
978-1-4244-3388-9
Type :
conf
DOI :
10.1109/ECTICON.2009.5137000
Filename :
5137000
Link To Document :
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