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dc.contributor.authorRaj, Akhil-
dc.contributor.authorVenkaiah, Chintham-
dc.date.accessioned2026-01-28T07:25:57Z-
dc.date.available2026-01-28T07:25:57Z-
dc.date.issued2016-
dc.identifier.citation10.1109/NATSYS.2015.7489080en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/3896-
dc.descriptionNITWen_US
dc.description.abstractIn this paper Teaching-Learning-Based Optimization Algorithm (TLBO) is presented for solving the problem of placement of phasor measurement units (PMU) optimally in a power system network for complete observability. The TLBO algorithm enables optimal PMU placement by zero injection measurements and also by not including zero injection measurements. The algorithm has been tested on standard test systems such as IEEE 14-bus, IEEE 30-bus, IEEE 57-bus and the results are contrasted with other optimization algorithms like Genetic Algorithm and Binary PSO.en_US
dc.language.isoenen_US
dc.publisherProceedings of the 2015 39th National Systems Conference, NSC 2015en_US
dc.subjectAlgorithmsen_US
dc.subjectLearning algorithmsen_US
dc.subjectOptimizationen_US
dc.subjectPhase measurementen_US
dc.titleOptimal PMU placement by teaching-learning based optimization algorithmen_US
dc.typeOtheren_US
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