Allocation and Sizing of Distributed Generation Using Multi-Period Particle Swarm Algorithm.
Recently, there is a strong global trend for distributed generations to reach greater levels of penetration, mainly linked to medium and low voltage distribution networks. In this work, a modified Particle Swarm Optimization (PSO) algorithm was applied to allocate and size distributed photovoltaic generation (GDPV) and traditional distributed generation (GDTR) in distribution networks, considering a time horizon of 24 hours. GDTRs were modeled to provide both active power and reactive power, whereas GDPVs only active power. The analyzes were carried out in two systems, one with 34 buses and one with 141 buses in the city of Caracas – Venezuela. A performance analysis demonstrates the effectiveness and robustness of the proposed method for finding good solutions, reducing losses, and improving the voltage profile. The results obtained prove the effectiveness of the proposed method, with the best results being obtained with the allocation of three Distributed Generators (DGs), in which losses in the 141-bus system were reduced by 95%, compared to the initial case.