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A power system network splitting strategy based on contingency analysis

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dc.citedby6
dc.contributor.authorSaharuddin N.Z.en_US
dc.contributor.authorAbidin I.Z.en_US
dc.contributor.authorMokhlis H.en_US
dc.contributor.authorAbdullah A.R.en_US
dc.contributor.authorNaidu K.en_US
dc.contributor.authorid55613455300en_US
dc.contributor.authorid35606640500en_US
dc.contributor.authorid8136874200en_US
dc.contributor.authorid24463454500en_US
dc.contributor.authorid18434522500en_US
dc.date.accessioned2023-05-29T06:53:06Z
dc.date.available2023-05-29T06:53:06Z
dc.date.issued2018
dc.descriptionComputer programming; Electric load flow; Electric power transmission; Optimization; Outages; Cascading failures; Contingency analysis; Load shedding scheme; N-1 contingencies; Network splitting; Optimization techniques; Power system networks; Steady state stability; Electric load sheddingen_US
dc.description.abstractThis paper proposes a network splitting strategy following critical line outages based on N-1 contingency analysis. Network splitting is the best option for certain critical outages when the tendency of severe cascading failures is very high. Network splitting is executed by splitting the power system network into feasible set of islands. Thus, it is essential to identify the optimal splitting solution (in terms of minimal power flow disruption) that satisfies certain constraints. This paper determines the optimal splitting solution for each of the critical line outage using discrete evolutionary programming (DEP) optimization technique assisted by heuristic initialization approach. Heuristic initialization provides the best initial cutsets which will guide the optimization technique to find the optimal splitting solution. Generation-load balance and transmission line overloading analysis are carried out in each island to ensure the steady state stability is achieved. Load shedding scheme is initiated if the power balance criterion is violated in any island to sustain the generation-load balance. The proposed technique is validated on the IEEE 118 bus system. Results show that the proposed approach produces an optimal splitting solution with lower power flow disruption during network splitting execution. � 2018 by the authors.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNoen11020434
dc.identifier.doi10.3390/en11020434
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85051258009
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85051258009&doi=10.3390%2fen11020434&partnerID=40&md5=0bb87f3c2c4f02a5e47aff780d0b9b77
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23913
dc.identifier.volume11
dc.publisherMDPI AGen_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleEnergies
dc.titleA power system network splitting strategy based on contingency analysisen_US
dc.typeArticleen_US
dspace.entity.typePublication
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