Optimal PMU configuration based on improving teaching-learning-based optimization algorithm

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 measurement. 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. Finally, the harmonic state estimation of distribution network is carried out under the condition that the measurement configuration makes the system completely observable. The accuracy of harmonic state estimation is verified, and the validity of the proposed algorithm is verified.

(from magazine Electrotechnical Application 6/2019 on theoretical analysis.)

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