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dc.contributor.authorKhokhlov, M. V.-
dc.contributor.authorPozdnyakova, O. A.-
dc.contributor.authorObusevs, Artjoms-
dc.date.accessioned2021-03-26T08:32:15Z-
dc.date.available2021-03-26T08:32:15Z-
dc.date.issued2021-01-
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/22168-
dc.description.abstractThis paper is devoted to the problem of the phasor measurement units (PMUs) placement for power system state estimation using optimality criteria proposed by the theory of optimal experimental design, such as A-, D-, M-, I-, G-optimality criteria. The high complexity of the task posed limits on the possibilities of solving it by exact mathematical methods only to small scale power systems. The paper studies the possibility to use population-based optimization algorithms (Genetic Algorithm, Differential Evolution, Particle Swarm Optimization, and Ant Colony Optimization). To meet the state observability requirements, the repair procedure is incorporated in the population-based algorithms. This allows to overcome the drawbacks in the existing methods based on the assumption of a priory observability of the power system and to take into account the system contingencies such as the phasor failures, the PMU losses, and the branch outages. We demonstrate the effectiveness of the proposed method in terms of the PMU placement design's efficiency and computation efforts through the numerical simulations on a standard IEEE 118-bus system.de_CH
dc.language.isoende_CH
dc.publisherIEEEde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectExperimental designde_CH
dc.subjectObservabilityde_CH
dc.subjectOptimal PMU placementde_CH
dc.subjectState estimationde_CH
dc.subjectOptimality criteriade_CH
dc.subjectPopulation-based optimisation algorithmsde_CH
dc.subject.ddc621.3: Elektro-, Kommunikations-, Steuerungs- und Regelungstechnikde_CH
dc.titleOptimal PMU placement for power system state estimation using population-based algorithms incorporating observability requirementsde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Energiesysteme und Fluid-Engineering (IEFE)de_CH
dc.identifier.doi10.1109/RTUCON51174.2020.9316476de_CH
zhaw.conference.details61st International Scientific Conference on Power and Electrical Engineering, Riga, Latvia, 5-7 November 2020de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statussubmittedVersionde_CH
zhaw.publication.reviewNot specifiedde_CH
zhaw.title.proceedings2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)de_CH
zhaw.webfeedSimulation and Optimizationde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Khokhlov, M. V., Pozdnyakova, O. A., & Obusevs, A. (2021, January). Optimal PMU placement for power system state estimation using population-based algorithms incorporating observability requirements. 2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). https://doi.org/10.1109/RTUCON51174.2020.9316476
Khokhlov, M.V., Pozdnyakova, O.A. and Obusevs, A. (2021) ‘Optimal PMU placement for power system state estimation using population-based algorithms incorporating observability requirements’, in 2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). IEEE. Available at: https://doi.org/10.1109/RTUCON51174.2020.9316476.
M. V. Khokhlov, O. A. Pozdnyakova, and A. Obusevs, “Optimal PMU placement for power system state estimation using population-based algorithms incorporating observability requirements,” in 2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), Jan. 2021. doi: 10.1109/RTUCON51174.2020.9316476.
KHOKHLOV, M. V., O. A. POZDNYAKOVA und Artjoms OBUSEVS, 2021. Optimal PMU placement for power system state estimation using population-based algorithms incorporating observability requirements. In: 2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). Conference paper. IEEE. Januar 2021
Khokhlov, M. V., O. A. Pozdnyakova, and Artjoms Obusevs. 2021. “Optimal PMU Placement for Power System State Estimation Using Population-Based Algorithms Incorporating Observability Requirements.” Conference paper. In 2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). IEEE. https://doi.org/10.1109/RTUCON51174.2020.9316476.
Khokhlov, M. V., et al. “Optimal PMU Placement for Power System State Estimation Using Population-Based Algorithms Incorporating Observability Requirements.” 2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), IEEE, 2021, https://doi.org/10.1109/RTUCON51174.2020.9316476.


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