Z. Kai, A. P. Agalgaonkar, K. M. Muttaqi and S. Perera, “Multi-objective Optimization for Distribution System Planning with Renewable Energy Resources,” in Proc. 2010 IEEE International Energy Conference, pp. 670-675.

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.