Optimal Placement and Sizing of DGs in Distribution Networks Using MLPSO Algorithm

Eshan Karunarathne, Jagadeesh Pasupuleti, Janaka Ekanayake and Dilini Almeida
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Eshan Karunarathne: Institute of Sustainable Energy, Universiti Tenaga Nasional (UNITEN), Kajang, Selangor 43000, Malaysia
Jagadeesh Pasupuleti: Institute of Sustainable Energy, Universiti Tenaga Nasional (UNITEN), Kajang, Selangor 43000, Malaysia
Janaka Ekanayake: Department of Electrical and Electronic Engineering, University of Peradeniya, Peradeniya 20400, Sri Lanka
Dilini Almeida: Institute of Sustainable Energy, Universiti Tenaga Nasional (UNITEN), Kajang, Selangor 43000, Malaysia

Energies, 2020, vol. 13, issue 23, 1-25

Abstract: In today’s world, distributed generation (DG) is an outstanding solution to tackle the challenges in power grids such as the power loss of the system that is intensified by the exponential increase in demand for electricity. Numerous optimization algorithms have been used by several researchers to establish the optimal placement and sizing of DGs to alleviate this power loss of the system. However, in terms of the reduction of active power loss, the performance of these algorithms is weaker. Furthermore, the premature convergence, the precision of the output, and the complexity are a few major drawbacks of these optimization techniques. Thus, this paper proposes the multileader particle swarm optimization (MLPSO) for the determination of the optimal locations and sizes of DGs with the objective of active power loss minimization while surmounting the drawbacks in previous algorithms. A comprehensive performance analysis is carried out utilizing the suggested approach on the standard IEEE 33 bus system and a real radial bus system in the Malaysian context. The findings reveal a 67.40% and an 80.32% reduction of losses in the two systems by integrating three DGs with a unity power factor, respectively. The comparison of the results with other optimization techniques demonstrated the effectiveness of the proposed MLPSO algorithm in optimal placement and sizing of DGs.

Keywords: distributed generation; optimal placement and sizing; loss minimization; multileader; particle swarm optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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