Distribution Network Expansion Planning Based on Multi-objective PSO Algorithm

Chunyu Zhang, Yi Ding, Qiuwei Wu, Qi Wang, Jacob Østergaard

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    This paper presents a novel approach for electrical distribution network expansion planning using multi-objective particle swarm optimization (PSO). The optimization objectives are: investment and operation cost, energy losses cost, and power congestion cost. A two-phase multi-objective PSO algorithm was proposed to solve this optimization problem, which can accelerate the convergence and guarantee the diversity of Pareto-optimal front set as well. The feasibility and effectiveness of both the proposed multi-objective planning approach and the improved multi-objective PSO have been verified by the 18-node typical system.
    Original languageEnglish
    JournalEnergy and Power Engineering
    Pages (from-to)975-979
    Publication statusPublished - 2013


    • Distribution Network Expansion Planning
    • Two-phase
    • Multi-objective PSO


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