Voltage Improvement and Loss Reduction by Placement and Sizing of DG Using Grid Oriented Multi objective Particle Swarm Optimization

The paper designed a method using grid oriented multi-objective particle swarm optimization (GOMPSO) for optimally placing and sizes the distributed generators (DG) to achieve objective of reduction in the loss of active and reactive power and improvement in voltage on a radial feeder. Multi- objective function is formulated considering constraints of voltage deviations and loss of active as well as reactive powers. This objective function is optimized by optimal deployment of the DG units using particle swarm optimization. Study is performed without considering the DGs, considering one DG, two DGs, three DGs and four DGs. Active power loss reduction index (APLRI), reactive power loss reduction index (QLRI), and total voltage deviation index (TVDI) are designed to assess performance of the proposed method. This is also established that performance of designed GOMPSO technique is better relative to genetic algorithm (GA) based method for DG unit placement. MATLAB software is used perform study on IEEE- 33 bus distribution feeder.