Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/3896
Title: Optimal PMU placement by teaching-learning based optimization algorithm
Authors: Raj, Akhil
Venkaiah, Chintham
Keywords: Algorithms
Learning algorithms
Optimization
Phase measurement
Issue Date: 2016
Publisher: Proceedings of the 2015 39th National Systems Conference, NSC 2015
Citation: 10.1109/NATSYS.2015.7489080
Abstract: In 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.
Description: NITW
URI: http://localhost:8080/xmlui/handle/123456789/3896
Appears in Collections:Electrical Engineering

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