Power loss and voltage stability optimization with meta-heuristic algorithms in power system

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dc.contributor.authorIscan, Serkan
dc.contributor.authorKaplan, Orhan
dc.contributor.authorLokman, Gurcan
dc.date.accessioned2025-03-23T19:25:37Z
dc.date.available2025-03-23T19:25:37Z
dc.date.issued2021
dc.departmentSinop Üniversitesi
dc.description.abstractPower flow, which is one of the most prominent problems in the field of power system, is the calculation of the voltage amplitudes and phase angles of each bus and the power losses by using the bus data with known steady state voltage amplitudes and power values. Increasing demand and the connection of decentralized energy sources to the power system at various points make more complicated power flow problem. The power flow problem is of great importance for both electricity generation and transmission. Planning new loads that can be connected to the system in the future and using the existing transmission lines at full capacity are based on the solution of the power flow problem. Power flow, which is a nonlinear problem, has traditionally been solved using numerical methods such as Newton-Raphson and Gauss Seidel. However, the success of classical solution algorithms decreases depending on the conditions of the power system. Meta-heuristic optimization techniques and search algorithms developed in recent years show that better results can be obtained in solving the power flow problem. In this study, Artificial Bee Colony (ABC), Gray Wolf (GWO), Particle Swarm Optimization (PSO) and Newton Raphson algorithms have been applied to optimize the power flow problem in the IEEE-14 bus test power system created using Matlab software. The performance of the algorithms has been compared by considering the voltage amplitudes, voltage deviation, phase angles, power losses and calculation times obtained from the model power system.
dc.identifier.doi10.5505/pajes.2020.84152
dc.identifier.endpage209
dc.identifier.issn1300-7009
dc.identifier.issn2147-5881
dc.identifier.issue2
dc.identifier.scopusqualityN/A
dc.identifier.startpage199
dc.identifier.trdizinid424278
dc.identifier.urihttps://doi.org/10.5505/pajes.2020.84152
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/424278
dc.identifier.urihttps://hdl.handle.net/11486/4522
dc.identifier.volume27
dc.identifier.wosWOS:000637198500010
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakTR-Dizin
dc.language.isotr
dc.publisherPamukkale Univ
dc.relation.ispartofPamukkale University Journal of Engineering Sciences-Pamukkale Universitesi Muhendislik Bilimleri Dergisi
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250323
dc.subjectPower Flow
dc.subjectMeta-heuristic algorithms
dc.subjectVoltage deviation
dc.titlePower loss and voltage stability optimization with meta-heuristic algorithms in power system
dc.typeArticle

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