Distribution Network Expansion Planning Based on Multi-objective PSO Algorithm

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

doi:10.4236/epe.2013.54B187

Distribution Network Expansion Planning Based on Multi-objective PSO Algorithm

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

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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 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 language	English
Journal	Energy and Power Engineering
Volume	5
Pages (from-to)	975-979
ISSN	1949-243X
DOIs	https://doi.org/10.4236/epe.2013.54B187
Publication status	Published - 2013

Keywords

Distribution Network Expansion Planning
Two-phase
Multi-objective PSO

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title = "Distribution Network Expansion Planning Based on Multi-objective PSO Algorithm",

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 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.",

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T1 - Distribution Network Expansion Planning Based on Multi-objective PSO Algorithm

AU - Zhang, Chunyu

AU - Ding, Yi

AU - Wu, Qiuwei

AU - Wang, Qi

AU - Østergaard, Jacob

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - Distribution Network Expansion Planning

KW - Two-phase

KW - Multi-objective PSO

U2 - 10.4236/epe.2013.54B187

DO - 10.4236/epe.2013.54B187

M3 - Journal article

SN - 1949-243X

VL - 5

SP - 975

EP - 979

JO - Energy and Power Engineering

JF - Energy and Power Engineering

ER -

Distribution Network Expansion Planning Based on Multi-objective PSO Algorithm

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