Optimal Allocation and Sizing of Capacitors by BPSO Algorithm with Consideration of Annual Load Profile: A Real Case Study

摘要

In the present work, a swarm search optimization-based approach as known Binary Particle Swarm Optimization (BPSO) has been developed to find the optimal capacitor placement on the Meshkinshahr distribution network. Harmonic distortion of voltage sources in network caused a double harmonic current injection, increasing network losses and incidence of resonance phenomenon. Moreover, the optimal capacitor placement problem of radial distribution system for variable load level is considered as a non-linear optimization problem with a non-differentiable objective function due to the fact that the costs of the capacitor vary in a discrete manner and the system load also varies continuously throughout the day. Therefore, BPSO is proposed to minimize harmonic distortion effects in the distribution network based on optimal capacitor placement. To check the feasibility, the proposed framework is applied on real distribution network Numerical experiments are included to demonstrate that the proposed method can obtain better quality solution than many existing techniques as view of minimizing the power loss and improving of voltage profile.