DocumentCode :
1943318
Title :
Genetic algorithm for optimal reactive power dispatch
Author :
Abdullah, W.N.W. ; Saibon, H. ; Zain, A.A.M. ; Lo, K.L.
Author_Institution :
Inst. Teknol. MARA, Malaysia
Volume :
1
fYear :
1998
fDate :
3-5 Mar 1998
Firstpage :
160
Abstract :
Scheduling of reactive power in an optimum manner reduces circulating VAr promoting flatter voltage profile which lead to appreciable MW saving on account of reduced power system losses. Hence, the optimal reactive power dispatch assumes extremely important functioning both in the planning stage as well as in day to day operation of the power system. This paper presents an alternative approach to optimal reactive power dispatch based on genetic algorithm techniques (GAs). The technique is used to search for transformer tap settings and the value of shunt capacitors of a given power system such that the total system power loss is minimised. The proposed method is tested on IEEE 14 and 30 bus test systems and their results are compared with those obtained using load flow calculation
Keywords :
genetic algorithms; load dispatching; losses; minimisation; power capacitors; power system planning; power transformers; reactive power; scheduling; MW saving; circulating VAr; computer simulation; genetic algorithm techniques; loss minimisation; optimal reactive power dispatch; planning stage; power system losses; reactive power scheduling; search technique; shunt capacitors; transformer tap settings; voltage profile; Capacitors; Genetic algorithms; Linear programming; Load flow; Object oriented programming; Power system planning; Quadratic programming; Reactive power; Reactive power control; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy Management and Power Delivery, 1998. Proceedings of EMPD '98. 1998 International Conference on
Print_ISBN :
0-7803-4495-2
Type :
conf
DOI :
10.1109/EMPD.1998.705494
Filename :
705494
Link To Document :
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