Novel Optimization-Based Algorithms for a Substation Voltage Controller Using Local PMU Measurements

Amelian, Mohammad
Badayos, Noah
Venkatasubramanian, Vaithianathan
Habibi-Ashrafi, Farrokh
Salazar, Armando
Abu-Jaradeh, Backer
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This paper presents an improved version of a local voltage controller for a transmission substation. The controller uses available phasor measurement units (PMUs) at the substation, for optimal management of its local reactive (VAr) control resources, such as shunt reactive devices and transformer taps. Two optimization formulations with different objectives are introduced based on various operating criteria in electric utilities. The first approach aims to minimize the required reactive power injection such that it corrects the substation bus voltages to be within pre-specified limits so as to be close as possible to the optimal values. The second one minimizes the number of switching actions that are needed to correct the voltages to be within limits. Genetic algorithm (GA) is used for solving these discrete optimization problems. Performance of the proposed formulations is tested and analyzed through simulations for a typical substation in Southern California transmission network. Finally, the results from the two approaches are compared and discussed.
Monitoring, Control, and Protection, Power system control, Volta-VAR management, voltage control, power system operation, synchrophasors.
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