POWER SYSTEM PLANNING AND OPERATION

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dc.contributor.authorSimon, Sishaj Pulikottil
dc.contributor.authorPadhy, Narayana Prasad
dc.contributor.authorPark, Jong-Bae
dc.contributor.authorLee, Kwang Y.
dc.contributor.authorZhou, Ming
dc.contributor.authorXia, Shu
dc.contributor.authorda Silva, Anna Carolina R.H.
dc.date.accessioned2025-01-21T16:28:17Z
dc.date.available2025-01-21T16:28:17Z
dc.date.issued2020
dc.departmentKırıkkale Üniversitesi
dc.description.abstractThis chapter provides implementation of various optimization algorithms to various power system problems that utilize power flow calculations. Determination of the schedule (ON/OFF status and amount of power generated) of generating units within a power system results in great saving for electric utilities. The unit commitment problem can be formulated in order to minimize the total operating cost, satisfying the system, the unit, and several operational constraints. The power transfer limit of overhead transmission lines (OTLs) is an important constraint for power systems’ planning and operation. This constraint plays an essential role in the secure and economic management of power systems. The chapter presents economic dispatch problem by considering GAs and particle swarm optimization (PSO) in complex power system analysis. It uses a hybrid PSO to solve load flow problem while uses artificial bee colony optimization for solving the optimal power flow problem. © 2020 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.
dc.identifier.doi10.1002/9781119602286.ch3
dc.identifier.endpage225
dc.identifier.isbn978-111960228-6
dc.identifier.isbn978-111960229-3
dc.identifier.scopus2-s2.0-85135659431
dc.identifier.scopusqualityN/A
dc.identifier.startpage39
dc.identifier.urihttps://doi.org/10.1002/9781119602286.ch3
dc.identifier.urihttps://hdl.handle.net/20.500.12587/23525
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherwiley
dc.relation.ispartofApplications of Modern Heuristic Optimization Methods in Power and Energy Systems
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241229
dc.subjectArtificial bee colony optimization; Classical constructive heuristic algorithms; Optimal power flow problem; Particle swarm optimization; Power system planning; Unit commitment problem
dc.titlePOWER SYSTEM PLANNING AND OPERATION
dc.typeBook Chapter

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