Reactive power and voltage control based on general quantum genetic algorithms

Authors:
John G. Vlachogiannis;Jacob Østergaard
Affiliations:
Center for Electric Technology (CET), Department Electrical Engineering, Technical University of Denmark (DTU), Elektrovej Building 326, Room 122, DK-2800, Kgs. Lyngby, Denmark;Center for Electric Technology, (CET) Department Electrical Engineering, Technical University of Denmark (DTU), Elektrovej Building 325, Room 054, DK-2800 Kgs. Lyngby, Denmark
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

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Abstract

This paper presents an improved evolutionary algorithm based on quantum computing for optimal steady-state performance of power systems. However, the proposed general quantum genetic algorithm (GQ-GA) can be applied in various combinatorial optimization problems. In this study the GQ-GA determines the optimal settings of control variables, such as generator voltages, transformer taps and shunt VAR compensation devices for optimal reactive power and voltage control of IEEE 30-bus and 118-bus systems. The results of GQ-GA are compared with those given by the state-of-the-art evolutionary computational techniques such as enhanced GA, multi-objective evolutionary algorithm and particle swarm optimization algorithms, as well as the classical primal-dual interior-point optimal power flow algorithm. The comparison demonstrates the ability of the GQ-GA in reaching more optimal solutions.