DocumentCode :
571191
Title :
Optimal capacitor placement in distribution networks for loss reduction using differential evolution incorporating dimension reducing load flow for different load levels
Author :
Neelima, S. ; Subramanyam, P.S.
Author_Institution :
Dept. of Electr. & Electron. Eng., MVJCE, Bangalore, India
fYear :
2012
fDate :
29-31 May 2012
Firstpage :
1
Lastpage :
7
Abstract :
A distribution system is an interface between the bulk power system and the consumers. Among these systems, radial distributions system is popular because of low cost and simple design. In distribution systems, the voltages at buses decrease proportionally, when moved away from the substation, also the losses increases quadratically. The reason for decrease in voltage and increase in losses is the insufficient amount of reactive power, which can be provided by the shunt capacitors. But the placement of the capacitor with appropriate size is always a challenge. Thus the optimal capacitor placement problem is to determine the location and size of capacitors to be placed in distribution networks in an efficient way to reduce the power losses and improve the voltage profile of the system. For this purpose, in this paper, two stage methodologies are used. In first stage, the load flow of pre-compensated distribution system is carried out using `dimension reducing distribution load flow algorithm (DRDLFA)´. On the basis of this load flow the potential locations of compensation are computed. In the second stage, Differential Evolution (DE) Algorithm is used to determine the optimal location and size of the capacitors. The above method is tested on IEEE 69 bus system and compared with other method Fuzzy-Genetic Algorithm.
Keywords :
IEEE standards; differential equations; distribution networks; fuzzy set theory; genetic algorithms; load flow; power capacitors; reactive power; DE algorithm; DRDLFA; IEEE 69 bus system; bulk power system; differential evolution incorporating dimension; dimension reducing distribution load flow algorithm; distribution networks; fuzzy-genetic algorithm; load flow reduction; load levels; loss reduction; optimal capacitor placement; optimal capacitor placement problem; power losses; precompensated distribution system load flow; radial distributions system; reactive power; shunt capacitors; substation; voltage profile; Capacitors; Load flow; Optimization; Sociology; Statistics; Vectors; Voltage control; Differential Evolution (DE); Dimension reducing distribution load flow algorithm (DRDLFA); Electrical Distribution Network; Optimal Capacitor Placement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energytech, 2012 IEEE
Conference_Location :
Cleveland, OH
Print_ISBN :
978-1-4673-1836-5
Electronic_ISBN :
978-1-4673-1834-1
Type :
conf
DOI :
10.1109/EnergyTech.2012.6304693
Filename :
6304693
Link To Document :
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