An improved hybrid approach for the simultaneous allocation of distributed generators and time varying loads in distribution systems
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 simultaneou...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722025598 |
| _version_ | 1827902752200589312 |
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| author | Ali Ahmed Muhammad Faisal Nadeem Arooj Tariq Kiani Nasim Ullah Muhammad Adnan Khan Amir Mosavi |
| author_facet | Ali Ahmed Muhammad Faisal Nadeem Arooj Tariq Kiani Nasim Ullah Muhammad Adnan Khan Amir Mosavi |
| author_sort | Ali Ahmed |
| collection | DOAJ |
| description | 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 simultaneous 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. |
| first_indexed | 2024-03-13T00:03:37Z |
| format | Article |
| id | doaj.art-229799329b7546a4a109368646be1cca |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-03-13T00:03:37Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-229799329b7546a4a109368646be1cca2023-07-13T05:28:33ZengElsevierEnergy Reports2352-48472023-12-01915491560An improved hybrid approach for the simultaneous allocation of distributed generators and time varying loads in distribution systemsAli Ahmed0Muhammad Faisal Nadeem1Arooj Tariq Kiani2Nasim Ullah3Muhammad Adnan Khan4Amir Mosavi5Department of Electrical Engineering, University of Engineering and Technology Taxila, Taxila 47080, PakistanDepartment of Electrical Engineering, University of Engineering and Technology Taxila, Taxila 47080, Pakistan; Corresponding authors.Department of Electrical Engineering, Air University Islamabad, Islamabad 44230, PakistanDepartment of Electrical Engineering, College of Engineering, Taif University, Al-Hawiyah 26571, Saudi ArabiaDepartment of Software, Gachon University, Seongnam, Republic of Korea; Corresponding authors.Institute of Information Engineering, Automation and Mathematics, Slovak University of Technology, Bratislava, Slovakia; John von Neumann Faculty of Informatics, Obuda University, Budapest, Hungary; Faculty of Civil Engineering, TU-Dresden, Dresden, Germany; Correspondence to: 1081 Budapest, Népszínház utca 8. fsz. 15 .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 simultaneous 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.http://www.sciencedirect.com/science/article/pii/S2352484722025598Optimal allocationMetaheuristicsDistributed generationMulti-objective index |
| spellingShingle | Ali Ahmed Muhammad Faisal Nadeem Arooj Tariq Kiani Nasim Ullah Muhammad Adnan Khan Amir Mosavi An improved hybrid approach for the simultaneous allocation of distributed generators and time varying loads in distribution systems Energy Reports Optimal allocation Metaheuristics Distributed generation Multi-objective index |
| title | An improved hybrid approach for the simultaneous allocation of distributed generators and time varying loads in distribution systems |
| title_full | An improved hybrid approach for the simultaneous allocation of distributed generators and time varying loads in distribution systems |
| title_fullStr | An improved hybrid approach for the simultaneous allocation of distributed generators and time varying loads in distribution systems |
| title_full_unstemmed | An improved hybrid approach for the simultaneous allocation of distributed generators and time varying loads in distribution systems |
| title_short | An improved hybrid approach for the simultaneous allocation of distributed generators and time varying loads in distribution systems |
| title_sort | improved hybrid approach for the simultaneous allocation of distributed generators and time varying loads in distribution systems |
| topic | Optimal allocation Metaheuristics Distributed generation Multi-objective index |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722025598 |
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