An improved hybrid approach for the simultaneous allocation of distributed generators and time varying loads in distribution systemsopen access
- Authors
- Ahmed, Ali; Nadeem, Muhammad Faisal; Kiani, Arooj Tariq; Ullah, Nasim; Khan, Muhammad Adnan; Mosavi, Amir
- Issue Date
- Dec-2023
- Publisher
- ELSEVIER
- Keywords
- Optimal allocation; Metaheuristics; Distributed generation; Multi-objective index
- Citation
- ENERGY REPORTS, v.9, pp.1549 - 1560
- Journal Title
- ENERGY REPORTS
- Volume
- 9
- Start Page
- 1549
- End Page
- 1560
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/87063
- DOI
- 10.1016/j.egyr.2022.11.171
- ISSN
- 2352-4847
- Abstract
- Distributed Generation (DG) studies are generally conducted considering a single type of DG units integrated with the Distribution System (DS). However, these studies may not evaluate optimum benefits offered by the DG integration. This paper presents a novel framework for individual and simultaneous allocation of different types of DG units in DS while considering varying load demand and probabilistic generation of DG units. A Salp Swarm Algorithm (SSA) and Particle Swarm Optimization (PSO) based new hybrid method that utilizes a single controlling parameter is proposed for simultane-ous allocation of DG units, aiming to minimize a multi-objective index. The strength of the proposed SSA-PSO hybrid approach is validated on seventeen benchmark functions and the performance of the novel framework for optimal allocation of DG units is validated through implementation on the 69-bus system. The results demonstrate that the proposed hybrid approach performs better as compared to other meta-heuristics techniques. Moreover, simultaneous allocation significantly reduces the multi-objective index as compared to individual DG units' integration. (c) 2022 The Authors. Published by Elsevier Ltd.
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