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Optimal Placement of Capacitors in Radial Distribution Grids via Enhanced Modified Particle Swarm Optimization

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dc.contributor.author Muhammad Junaid Tahir
dc.contributor.author Muhammad Babar Rasheed
dc.contributor.author Mohd Khairil Rahmat
dc.contributor.author UniKL BMI
dc.date.accessioned 2023-05-29T07:27:10Z
dc.date.available 2023-05-29T07:27:10Z
dc.date.issued 2022-04-01
dc.identifier.citation Muhammad Junaid Tahir, Muhammad Babar Rasheed, Mohd Khairil Rahmat (2022). Optimal Placement of Capacitors in Radial Distribution Grids via Enhanced Modified Particle Swarm Optimization. Energies, Volume 15 (Issue 7). https://doi.org/10.3390/en15072452 en_US
dc.identifier.issn 19961073
dc.identifier.uri http://hdl.handle.net/123456789/27838
dc.description This article is indexed by Scopus en_US
dc.description.abstract This paper presents the integration of shunt capacitors in the radial distribution grids (RDG) with constant and time-varying load consideration for the reduction of power losses and total annual cost, which turns to enhance the voltage profile and annual net savings. To gather the stated goals, three objective functions are formulated with system constraints. To solve this identified problem, a novel optimization technique based on the modification of particle swarm optimization is proposed. The solution methodology is divided into two phases. In phase one, potential candidate buses are nominated using the loss sensitivity factor method and in phase two the proposed technique first selects the optimal buses for the capacitor placement among the potential buses then it decides the optimal sizing of the capacitors as well. To demonstrate the performance in terms of efficiency and strength, the proposed technique is tested on IEEE 15, 33, and 69 bus system for the optimal placement and sizing of capacitors (OPSC) problem. The results are achieved in terms of annual net savings for 15 bus (47.66%case−1, 32.76%case−2, 26.46%case−3), 33 bus (33.09% case−1, 27.06%case−2, 24.15%case−3), and 69 bus (34.51% case−1, 29.43%case−2, 25.83%case−3) which are comparable to other state of the art methods, and it also indicates the success of the proposed technique. en_US
dc.language.iso en en_US
dc.publisher MDPI en_US
dc.subject Annual net saving maximization en_US
dc.subject Loss sensitivity factor en_US
dc.subject Modified particle swarm optimization en_US
dc.subject Novel inertia term en_US
dc.subject Optimal placement and sizing of capacitors en_US
dc.subject Radial distribution grids en_US
dc.title Optimal Placement of Capacitors in Radial Distribution Grids via Enhanced Modified Particle Swarm Optimization en_US
dc.type Article en_US
dc.conference.name Energies, Volume 15, Issue 7, 1 April 2022, Article number 2452 en_US
dc.conference.year 2022 en_US


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