EANFIS-based Maximum Power Point Tracking for Standalone PV System

Abstract

The design and development of eco-friendly renewable energy sources is a critical process in the power generation system. Power generation of photovoltaic system depend on temperature and irradiation. Variation of atmospheric conditions need to find points for every instant on V-I characteristics of PV in which maximum power transfer from source to load is achieved. This work deals with Maximum Power Point Tracking (MPPT) method based on Adaptive Neuro Fuzzy Interference System (EANFIS) in standalone operation. The novelty is introduced in the design of inverter, motor selection, and maximum power point tracking. Quasi-Z-source inverter (qZSI) is designed with Z-shaped impedance network to continuously draw constant current from solar panel. MPPT enhance the efficiency of PV panel via load matching; however, it may be affected by environmental changes. Hence, an EANFIS-based MPPT technique is used in the proposed work to confirm maximum power delivery to current motor. The proposed method is the combination of Particle Swarm Optimization (PSO) and Adaptive Neuro Fuzzy Inference System (ANFIS). Training stage of ANFIS is optimized by PSO to handle switching angle of Multi-Level Inverter (MLI) and generate harmonic-less control voltage, hence named Enhanced ANFIS (EANFIS). Voltage and current control of solar panel decide maximum power generation which is verified using Simulink and practical environment. Thus, EANFIS-based MPPT technique achieved the maximum tracking efficiency of 94% which is better than other comparison methods, namely P&O, RBFNN, ANN, and IDISMC.

KEYWORDS:

• Adaptive neuro fuzzy interface system
• Brushless DC motor
• Maximum power point tracking
• Photovoltaic panel
• Power generation
• Proportional integral derivative controller
• Quasi-Z source inverter

Additional information

Notes on contributors

P. Veera Manikandan

P Veera Manikandan (1982) is presently a research scholar in the Department of Electrical Engineering at Anna University, Chennai,Tamilnadu, India. He received his BE degree in electrical and electronics engineering and ME degree in power electronics and drives both from Anna University, Chennai in 2010 and 2012, respectively. Since 2012, he has been working as an assistant professor in Mohamed Sathak Engineering College, Kilakarai, Tamilnadu, India. His research interests are in the area of power electronics, solar MPPT, multi-level inverter, and soft computing technique.

S. Selvaperumal

S Selvaperumal was born in Virudhunagar, Tamilnadu, India, in 1977. He received the BE degree in electrical and electronics engineering and the ME degree in power electronics and drives both from Anna University, Chennai, Tamil Nadu, in 2005 and 2007, respectively, and the PhD degree in electrical and electronics engineering from Anna University, Chennai, Tamilnadu, in 2013. He is currently a professor in the Department of Electrical and Electronics Engineering at Syed Ammal Engineering College, Ramanathapuram. He has published articles in reputed journals like IET and IEEE Transactions. He has published over 40 papers. He has acted as a reviewer for more than 20 journals including IEEE & IET journals. He has organized two international conferences and published 10 books. He acts as a recognized supervisor for PhD guidance in Anna University and guiding 12 PhD scholars and produced 6 PhD scholars in the domain of electrical engineering. His areas of interest are power electronics, embedded systems, and control system design. Email: [email protected]