Multiobjective Optimization and Fuzzy Logic Applied to Planning of the Volt/Var Problem in Distributions Systems

This paper deals with integrated voltage and reactive power control (volt/var) for radial distribution feeders in planning issues, by means of the application of automatic voltage regulators (AVRs) banks and capacitors. A multiobjective genetic algorithm (SPEA2) improved using fuzzy logic is present...

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Vydáno v:IEEE transactions on power systems Ročník 25; číslo 3; s. 1274 - 1281
Hlavní autoři: de Souza, Benemar Alencar, de Almeida, Angelo Márcio Formiga
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.08.2010
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Capacitors
Combinatorial analysis
Control systems
Distribution systems
Feeders
Fuzzy logic
Genetic algorithms
integrated volt/var control
Load flow
multiobjective optimization
Optimization
Power system planning
Reactive power
Reactive power control
Regulators
Searching
VAR
Voltage control
Voltage regulators
ISSN:0885-8950, 1558-0679
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Shrnutí:This paper deals with integrated voltage and reactive power control (volt/var) for radial distribution feeders in planning issues, by means of the application of automatic voltage regulators (AVRs) banks and capacitors. A multiobjective genetic algorithm (SPEA2) improved using fuzzy logic is presented to solve the volt/var problem, since it is a combinatorial multiobjective optimization problem. The expert knowledge is taken into account via fuzzy logic in order to reduce the search space using voltage regulators in standard units. According to the multiobjective optimization fundamentals, an optimal solution ensemble is obtained, which concomitantly represents the solutions to both objectives, in such way that the operational restrictions of systems are satisfied. The algorithm is evaluated for a known 69-bus feeder in the literature of the subject. The obtained results demonstrate that the proposed method provides good concordance between the obtained solution and the Pareto front.
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ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2010.2042734