Optimal Allocation Research of Distributed Generation Based on Improved Particle Swarm Optimization Algorithm

Abstract:

Multi-objective optimization model on sitting and sizing of Distributed Generation (DG) was proposed in this paper, and it was based on the comprehensive consideration of total system network loss and total deviation of node voltage, aiming at the optimization of DG’s access, the simulation tests were carried out on the 13 bus test system using Particle Swarm Optimization (PSO) algorithm that belonged to swarm intelligence algorithm, receiving the improved network loss and node voltage as the evaluation index, the mutation operator was introduced into the basic PSO algorithm, which improved the possibility to find a more optimal value ,the results showed that IPSO algorithm had strong global searching ability and rapid convergence speed for optimal allocation of Distributed Generation in the distribution network, and it created a new idea for further Distributed Generation allocation.

• Periodical: Advanced Materials Research (Volumes 1070-1072)
• Pages: 657-665
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1070-1072.657
• Online since: December 2014
• Authors: Peng Cheng Li, Zhong Xiao Cong*, Jia Xiang Ou, Zhi Wei Peng
• Keywords: Distributed Generation (DG), Improved Particle Swarm Optimization Algorithm, Multi-Objective Optimization (MOP), Sitting, Sizing

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