A Particle Swarm Optimizer with Sensitivity Analysis for the Optimal Placement and Sizing of Distributed Generators in Radial Distribution Systems
Palavras-chave:
Distributed Generation, Particle Swarm Algorithm, Sensitivity Analysis, Loss MinimizationResumo
In recent years, the penetration of Distributed Generation (DG) has rapidly increased worldwide, mainly
due to the liberalization of electricity markets, restrictions on system expansion and environmental concerns. Tech-
nological advances in small generators and energy storage devices have also accelerated the process. This paper
proposes a methodology based on Particle Swarm Optimization (PSO) and Sensitivity Analysis (SA), namely
(PSO-SA), to identify the optimal placement and sizing of DG in radial distribution system (RDs). For improved
efficiency, a limited set of candidate buses for placement is defined through SA on the Lagrange multipliers. A
comparison against a regular PSO and other similar approaches is made. Numerical results show the effectiveness
and robustness of the method in providing good solutions with reduced power losses, when compared to other
techniques.