Publication:
Intentional Islanding Solution Based on Modified Discrete Particle Swarm Optimization Technique

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dc.citedby4
dc.contributor.authorSaharuddin N.Z.en_US
dc.contributor.authorAbidin I.Z.en_US
dc.contributor.authorBin Mokhlis H.en_US
dc.contributor.authorid55613455300en_US
dc.contributor.authorid35606640500en_US
dc.contributor.authorid8136874200en_US
dc.date.accessioned2023-05-29T06:51:43Z
dc.date.available2023-05-29T06:51:43Z
dc.date.issued2018
dc.descriptionDistributed power generation; Electric lines; Electric load flow; Electric load shedding; Electric power transmission; Particle swarm optimization (PSO); Discrete particle swarm optimization; Intentional islanding; MDPSO technique; Minimal power; Objective functions; Power flow analysis; Power system blackout; Steady state stability; Heuristic methodsen_US
dc.description.abstractImplementation of intentional islanding can prevent the power system blackout by partitioning the system into feasible sets of islands. The main challenge in determining the optimal islanding solution is the selection of transmission lines to be disconnected (cutsets) to form islands. The islanding solution must be the optimal solution and should not destabilize or cause the system to collapse. Therefore, this work developed a Modified Discrete Particle Swarm Optimization (MDPSO) with three- stages mutation technique to determine the optimal intentional islanding solution. An initial solution based heuristic method is used to assists the MDPSO technique to find the optimal islanding solution with minimal power disruption as its objective function. The post- islanding generation-load balance and transmission line power flow analysis are assessed to ensure the steady state stability is maintained in each island. The load shedding algorithm is carried out if generation-load balance criteria are violated. The proposed technique is tested on a modified IEEE 30-bus and IEEE 39-bus system. The results obtained show that the proposed technique produces an optimal intentional islanding solution with lower power flow disruption compared to other existing methods. � 2018 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo8684097
dc.identifier.doi10.1109/PECON.2018.8684097
dc.identifier.epage404
dc.identifier.scopus2-s2.0-85064765715
dc.identifier.spage399
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85064765715&doi=10.1109%2fPECON.2018.8684097&partnerID=40&md5=533a565fa746f4f239e9c8998cd53e43
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23772
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2018 IEEE 7th International Conference on Power and Energy, PECon 2018
dc.titleIntentional Islanding Solution Based on Modified Discrete Particle Swarm Optimization Techniqueen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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