N. C. Sahoo, S. Ganguly and D. Das, “Fuzzy-Pareto-dominance Driven Possibilistic Model Based Planning of Electrical Distribution Systems Using Multi-objective Particle Swarm Optimization,” Expert Systems with Applications, Vol. 39, 2012, pp. 881-893. doi:10.1016/j.eswa.2011.07.086

has been cited by the following article:

• TITLE: Distribution Network Expansion Planning Based on Multi-objective PSO Algorithm

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

  KEYWORDS: Distribution Network Expansion Planning; Two-phase; Multi-objective PSO

  JOURNAL NAME: Energy and Power Engineering, Vol.5 No.4B, November 12, 2013

  ABSTRACT: 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.