dc.creatorKamel, Salah
dc.creatorYoussef, Heba
dc.date.accessioned2022-03-17T12:15:19Z
dc.date.accessioned2023-03-07T19:35:32Z
dc.date.available2022-03-17T12:15:19Z
dc.date.available2023-03-07T19:35:32Z
dc.date.created2022-03-17T12:15:19Z
dc.identifier1989-1660
dc.identifierhttps://reunir.unir.net/handle/123456789/12667
dc.identifierhttp://doi.org/10.9781/ijimai.2019.10.001
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5906955
dc.description.abstractThis paper proposes a combined approach to determine the optimal allocation of different shunt compensation devices (shunt capacitor, static var compensator, and static synchronous compensator) in power systems. The developed approach is a combination between Lightning Attachment Procedure Optimization (LAPO) and loss sensitivity indices (LSIs). Different objective functions such as enhancement of voltage stability index, improvement of voltage profile and minimization of total power losses are considered. Two loss sensitivity indices (LSIs) are developed to reduce the search space in all buses and the total computation time. The developed algorithm is validated using standard IEEE 14-bus and IEEE 30-bus test systems. The developed algorithm successes to achieve the objective functions with the better performance compared with other wellknown optimization techniques such as Teaching learning-based optimization (TLBO), genetic algorithm (GA) and particle swarm optimization (PSO).
dc.languageeng
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)
dc.relation;vol. 5, nº 7
dc.relationhttps://www.ijimai.org/journal/bibcite/reference/2743
dc.rightsopenAccess
dc.subjectsensitivity
dc.subjectvoltage stability
dc.subjectshunt compensation devices
dc.subjectoptimal power flow
dc.subjectlightning attachment procedure optimization
dc.subjectIJIMAI
dc.titleVoltage Stability Enhancement Based on Optimal Allocation of Shunt Compensation Devices Using Lightning attachment procedure optimization
dc.typearticle


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