Optimal sizing of distributed generation using a genetic algorithm approach for IEEE 33 bus system
Keywords:
Optimal sizing, Distributed generation, Genetic algorithm, IEEE-33 bus, Wind turbineAbstract
The electric power system consists of three main components, namely the generation, transmission, and distribution systems. The main problem that often occurs in distribution systems is voltage drops and power losses. So an effort is needed to overcome these two problems, one of which is by installing a small-scale generator or commonly called distributed generation (DG) in the electricity distribution system. To get optimal results, we need a method that can solve problems that are optimization in nature. In this final project Genetic Algorithm (GA) is a method used to solve a value search in the optimization problem of determining DG capacity. From the results of capacity optimization, the most optimal results are obtained in scenario 3 with the number of DG 3 and a power factor of 0.95, the optimal capacity results for DG are 1057.52 kW, 1203.01 kW, and 1159.37 kW respectively. To produce a total power loss value of 54.495 kW.
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