HARMONIC COMPONENTS ESTIMATION IN POWER SYSTEM USING BACTERIAL FORAGING OPTIMIZATION ALGORITHM AND STOCHASTIC GRADIENT ALGORITHM WITH VARIABLE FORGETTING FACTOR

Ahmad Mohammadzadeh; Jalil Sadati; Behrooz Rezaie

doi:10.31436/iiumej.v17i1.559

Authors

Ahmad Mohammadzadeh Department of Electrical and Computer Engineering, Babol University of Technology, Babol
Jalil Sadati Assistant Professor, Faculty of Electrical and Computer Engineering department, Babol University of Technology, Babol
Behrooz Rezaie Assistant Professor, Faculty of Electrical and Computer Engineering department, Babol University of Technology, Babol

DOI:

https://doi.org/10.31436/iiumej.v17i1.559

Abstract

In this paper, a hybrid configuration algorithm called stochastic gradient method with variable forgetting factor (SGVFF) is proposed to better estimate unknown parameters in a power system such as amplitude and phase of harmonics using variable forgetting factor following the bacterial foraging optimization algorithm (BFO). It must be mentioned that harmonic estimation is a nonlinear problem and using linear optimization algorithms for solving this problem reduces the convergence speed. Thus, BFO algorithm is used for initial estimation. In this paper, first, using little information and by applying BFO algorithm in an off-line procedure initial value for SGVFF algorithm is achieved and then SGVFF algorithm is gained in an on-line procedure. In the hybrid algorithm applied in this paper, amplitudes and phases are estimated simultaneously. Simulation results indicate that the proposed method has faster convergence speed, better performance and higher accuracy in a noisy system in comparison with recursive least squares variable forgetting factors algorithm (RLSVFF). This proves the superiority of the proposed method.

KEYWORDS:Â Power system harmonic; BFO algorithm; SGVFF method; RLSVFF method

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Author Biographies

Ahmad Mohammadzadeh, Department of Electrical and Computer Engineering, Babol University of Technology, Babol

Ahmad Mohammadzade was born in Noor, Mazandaran, Iran in 1982.He received B.Sc. in power engineering from Islamic Azad University of Noor in 2012.Â He is currently is M.Sc. student in control engineering in Babol University of Technology, Babol, Iran. His research interests is system identification, heuristic optimization algorithms, and harmonic estimation in power system.

Jalil Sadati, Assistant Professor, Faculty of Electrical and Computer Engineering department, Babol University of Technology, Babol

Jalil Sadati, was born in Behshahr, Mazandaran. He received M.Sc. degree in Ferdowsi University of Mashhad, and Ph.D. degree in Control engineering from University of Mazandaran, Iran in 2005 and 2011. He is assistant professor of control engineering in the department of electrical and computer engineering of Babol University of Technology from 2011. His research interests are fractional-order control, time delay systems, nonlinear control, adaptive systems, and model predictive control.

Behrooz Rezaie, Assistant Professor, Faculty of Electrical and Computer Engineering department, Babol University of Technology, Babol

Behrooz Rezaie was born in Kermanshah in 1974. He received M.Sc. degree and Ph.D. degree in Control engineering from Iran University of Science and Technology, Tehran, Iran in 2001 and 2009, respectively. He is assistant professor of control engineering in the department of electrical and computer engineering of Babol University of Technology from 2010. His research interests are hybrid and complex nonlinear systems, and control theory and applications especially intelligent, adaptive and predictive control methods.

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