Distribution Network Expansion Planning Based on Multi-objective PSO Algorithm


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 is employed 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.

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C. Zhang, Y. Ding, Q. Wu, Q. Wang and J. Østergaard, "Distribution Network Expansion Planning Based on Multi-objective PSO Algorithm," Energy and Power Engineering, Vol. 5 No. 4B, 2013, pp. 975-979. doi: 10.4236/epe.2013.54B187.

Conflicts of Interest

The authors declare no conflicts of interest.


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