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|Optimal Capacitor Placement in Radial Distribution System using Genetic Algorithm
|Jain, Sanjay Kumar
|Distribution System;Radial Distribution System;Reactive VAR Compensation;Capacitor Alocation;Genetic Algorithm
|A distribution system is an interface between the bulk power system and the consumers. Among these systems, radial distribution systems are popular because of low cost and simple design. In distribution systems, the voltages at buses reduces when moved away from the substation, also the losses are high. The reason for decrease in voltage and high losses is the insufficient amount of reactive power, which can be provided by the shunt capacitors. The work reported in this thesis is carried out with the objective of identifying the optimal locations and sizes (kVAr ratings) of shunt capacitors to be placed in radial distribution system to have overall economy considering the saving due to energy loss minimization and cost of capacitors. For the purpose two stage methodology is used. In first stage, the load flow of pre-compensated distribution system is carried out. On the basis of load flow solutions, loss sensitivity factors (LSF) indicating the potential locations for compensation are computed. From LSF, the candidate number of buses is identified. In the second stage, genetic algorithm is used to identify the sizes of the capacitor for minimizing the energy loss cost and capacitor cost. A coding scheme is implemented where the identification of location and size of capacitor is represented by one dimensional array. The developed algorithm is tested for 33-bus and 69-bus radial distribution systems while taking the different step sizes for capacitors.
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