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ABSTRACT
This manuscript proposes an efficient hybrid technique for efficient maximum power point tracking (MPPT) in wind energy conversion system (WECS). The system has MPPT-based control of Switched Reluctance Generator (SRG) is a hybrid Meta-heuristic algorithm. The proposed technique is the combination of Mayfly Algorithm (MA) and Transient Search Optimization (TSO), hence it is called enhanced MATSO (EMATSO) method. The main aim of the proposed method is to the reduction of speed error. Based on direct variation and Quadrature current parameters, the MA algorithm is proposed to stimulate the maximum proportional integral (PI) gain parameters controller with least error function. Here, the MA search behavior is enhanced using the efficient TSO algorithm. Based on speed variation of generator using MPPT method and loss reduction method, the direct axis set point is created with the Quadrature axis current parameters of WECS. The proposed EMATSO method has enhanced the efficiency of the WECS with this proper control. The proposed technique is carried out in MATLAB/Simulink platform, and then the efficiency is compared with other existing techniques, viz GA, ALO, and TSA, MA. Here, the current, voltage, power, grid current, flux, speed, theta, torque and reference speed are analyzed. By then, the statistical parameters, time domain parameters and elapsed time are also evaluated. In all the analysis, the proposed technique has superiority over other existing techniques.
Disclosure statement
No potential conflict of interest was reported by the author(s).
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Notes on contributors
Subbiah Sridharan
Subbiah Sridharan received B.E degree in EEE from Anna University, Chennai, India in 2003. M.E Degree in Applied Electronics from Sathyabama University, Chennai, India in 2007. He received Ph.D. degree from Anna University, Chennai in the area of Switched Reluctance Generator for wind power applications in 2020. tc.. Now he is currently working as an Associate Professor in the Department of Electrical and Electronics Engineering, St.Joseph’s College of Engineering, Chennai, India. He had published more than 15 international journals. His research interests include Electrical drives & Control, Control and charging for Electric Vehicle, Soft computing application in renewable Energy and Machine Learning.
Veeramani Vasan Prabhu
Veeramani Vasan Prabhu received B.E. degree in EEE from EGSP Engineering College, Nagapattinam affiliated to Anna University, Chennai, Tamil Nadu in 2005. M.E. Degree in Power Electronics & Drives from SSN College of Engineering, Chennai affiliated to Anna University, Chennai, Tamil Nadu in 2008. Received Ph.D. Degree from Anna University, Chennai in the Area of Switched Reluctance Machine in 2018. He is currently working as an Assistant Professor in Department of Automobile Engineering in SRM Institute of Science and Technology,Kattankulathur,TamilNadu. His research interests include Electrical drives & Control, Electric Vehicle, Soft computing application in renewable Energy, Machine Learning.
Palani Velmurugan
Palani Velmurugan received B.E degree in EEE from V.R.S College of Engineering and Technology, Villupuram, affiliated to Anna University, Chennai in 2007. M.E Degree in Power Electronics and Drives from Mailam Engineering College, Mailam affiliated to Anna University, Chennai in 2009.Ph.D degree in Electrical Engineering from Annamalai University, Chidambaram. Now currently working as an Associate Professor in the Department of Electrical and Electronics Engineering at St.Joseph’s College of Engineering, Chennai, India. His research interests include soft computing application in power system Engineering using Renewable Energy Sources, Electric vehicle controls, Power Electronics and drives.