Title :
Development of an Intelligent Decision Support System for Determining the Efficiency of Shunt Active Power Filter
Author :
Sagiroglu, Seref ; Bayindir, Ramazan ; Kaplan, Orhan ; Kahraman, Hamdi Tolga
Author_Institution :
Comput. Eng. Dept., Gazi Univ., Ankara, Turkey
Abstract :
Active power systems have been used in power system intensively. Selection of a suitable filter is very important to solve power quality problems perfectly. Since filter selection depend on a lot of parameters of power system, decision support systems can be employed in filter selection. In this paper, "An Intelligent Decision Support System, IDSS" is proposed. The system determines efficiency of three phase shunt active power filter for the power quality problems. The system developed converts the parameters obtained into the useful data at rule-based inference mechanism then the useful data are evaluated in Naive Bayes classifier. Thus a low cost decision support system has been developed to guide the users in the rate of suitability of three phase shunt active power for solution the power quality problems.
Keywords :
Bayes methods; active filters; decision support systems; inference mechanisms; pattern classification; power engineering computing; power filters; power systems; Naive Bayes classifier; active power system; filter selection; intelligent decision support system; power quality problem; rule based inference mechanism; shunt active power filter; Active filters; Decision support systems; Hybrid power systems; Intelligent systems; Power harmonic filters; Power quality; Power system harmonics; Power systems; Shunt (electrical); Voltage; Intelligent Decision Support System; Naive Bayes Classification; Rule-Based Inference; Shunt Active Power Filter;
Conference_Titel :
Machine Learning and Applications, 2009. ICMLA '09. International Conference on
Conference_Location :
Miami Beach, FL
Print_ISBN :
978-0-7695-3926-3
DOI :
10.1109/ICMLA.2009.76
