Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/27838
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dc.contributor.authorMuhammad Junaid Tahir-
dc.contributor.authorMuhammad Babar Rasheed-
dc.contributor.authorMohd Khairil Rahmat-
dc.contributor.authorUniKL BMI-
dc.date.accessioned2023-05-29T07:27:10Z-
dc.date.available2023-05-29T07:27:10Z-
dc.date.issued2022-04-01-
dc.identifier.citationMuhammad 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/en15072452en_US
dc.identifier.issn19961073-
dc.identifier.urihttp://hdl.handle.net/123456789/27838-
dc.descriptionThis article is indexed by Scopusen_US
dc.description.abstractThis 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.isoenen_US
dc.publisherMDPIen_US
dc.subjectAnnual net saving maximizationen_US
dc.subjectLoss sensitivity factoren_US
dc.subjectModified particle swarm optimizationen_US
dc.subjectNovel inertia termen_US
dc.subjectOptimal placement and sizing of capacitorsen_US
dc.subjectRadial distribution gridsen_US
dc.titleOptimal Placement of Capacitors in Radial Distribution Grids via Enhanced Modified Particle Swarm Optimizationen_US
dc.typeArticleen_US
dc.conference.nameEnergies, Volume 15, Issue 7, 1 April 2022, Article number 2452en_US
dc.conference.year2022en_US
Appears in Collections:Conference Paper



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