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DOI:10.35833/MPCE.2019.000143
Analytical Hybrid Particle Swarm Optimization Algorithm for Optimal Siting and Sizing of Distributed Generation in Smart Grid
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Author: Syed Muhammad Arif1,Akhtar Hussain2,Tek Tjing Lie1,Syed Muhammad Ahsan3,Hassan Abbas Khan3

Author Affiliation: 1.Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland, New Zealand;2.Department of Electrical Engineering, Incheon National University, Incheon, Korea;3.Department of Electrical Engineering, Lahore University of Management Sciences, Lahore, Pakistan

Foundation:
Abstract: In this paper, the hybridization of standard particle swarm optimisation (PSO) with the analytical method ( rule) is proposed, which is called as analytical hybrid PSO (AHPSO) algorithm used for the optimal siting and sizing of distribution generation. The proposed AHPSO algorithm is implemented to cater for uniformly distributed, increasingly distributed, centrally distributed, and randomly distributed loads in conventional power systems. To demonstrate the effectiveness of the proposed algorithm, the convergence speed and optimization performances of standard PSO and the proposed AHPSO algorithms are compared for two cases. In the first case, the performances of both the algorithms are compared for four different load distributions via an IEEE 10-bus system. In the second case, the performances of both the algorithms are compared for IEEE 10-bus, IEEE 33-bus, IEEE 69-bus systems, and a real distribution system of Korea. Simulation results show that the proposed AHPSO algorithm converges significantly faster than the standard PSO. The results of the proposed algorithm are compared with those of an analytical algorithm, and the results of them are similar.

Keywords:
Siting and sizing of distributed generation ; distribution system ; hybrid algorithm ; loss minimization ; particle swarm optimization (PSO).
Received:March 06, 2019               Online Time:2020/12/03
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