Title :
Soft Computing Techniques for the Control of an Active Power Filter
Author :
Kumar, Parmod ; Mahajan, Alka
Author_Institution :
Dept. of Electr. Eng., Delhi Coll. of Eng., Delhi
Abstract :
Nonmodel-based controllers have been explored for the control of a shunt active power filter (APF) designed for harmonic and reactive current mitigation. In this paper, three soft computing techniques viz; fuzzy logic, neural network, and genetic algorithm are used to design alternative control schemes for switching the APF. The models for these control schemes are designed and simulated in MATLAB. A comparative study of the results obtained using these artificial-intelligence-based schemes is presented.
Keywords :
active filters; artificial intelligence; fuzzy logic; genetic algorithms; neural networks; power engineering computing; power filters; MATLAB; artificial-intelligence-based scheme; fuzzy logic; genetic algorithm; harmonic mitigation; neural network; nonmodel-based controller; reactive current mitigation; shunt active power filter control; soft computing techniques; Active filters; Algorithm design and analysis; Artificial neural networks; Computational modeling; Computer networks; Fuzzy logic; Genetic algorithms; Mathematical model; Power harmonic filters; Power system harmonics; Active power filter (APF); fuzzy logic; genetic algorithm (GA); neural network;
Journal_Title :
Power Delivery, IEEE Transactions on
DOI :
10.1109/TPWRD.2008.2005881
