Generation of Maximum Power in Grid Connected PV System Based MPPT Control Using Hybrid Elephant Herding Optimization Algorithm

Abstract

This article proposes a Hybrid EHO with ANN to gather the maximum power from PV with the help of the embedded controller. The proposed EHO encourages clan activity around the global MPP and the proposed control mechanism makes forecasting approaches easier by offering a simple number. The specificity of the proposed procedure is to obtain maximum power from the photovoltaic field during to alternative solar radiation and temperature. In this development, an adapted Luo converter is used to develop the presentation of the result while maintaining the switching pulses. Here, the signals are generated by the associated integrated controller EHO-ANN specified in this switch command. In order to achieve higher performance, a simple Proportional Integral and Derivative (PID) controller has been applied to adapted Luo converter. Then, a novel boost converter design is introduced to maximize the efficiency of the maximum power point tracking system. The novelty of this paper is to employ the meta-heuristic optimization technique with well-known artificial intelligence techniques to provide a better tracking system to be used to harvest the maximum possible power from photovoltaic (PV) arrays. The proposed model has been carried out using Matlab/Simulink platform and Experimental setup.

Keywords:

• PV array
• MPPT technique
• embedded controller
• elephant herding optimization (EHO)
• artificial neural network (ANN)
• adapted Luo converter and PID controller

Additional information

Notes on contributors

S. Vijayakumar

S. Vijayakumar is an Assistant Professor in the Department of Electrical and Electronics Engineering, Gnanamani College of Technology, Namakkal, Tamilnadu, India. He received the M E in Power Electronics and Drives from Government College of Engineering, Anna University, Coimbatore, Tamilnadu, India, 2009. He is currently a Research Scholar in the Department of Electrical and Electronics Engineering, Government College of Engineering, Salem, under Anna University, Chennai, Tamilnadu, India. His research interest includes MPPT algorithms, power inverter in solar PV systems, modular multilevel converters (analysis, control, and applications) and grid integration.

C. Govindaraju

C. Govindaraju is an Associate Professor in the Department of Electrical and Electronics Engineering, Government College of Engineering, Salem, Tamilnadu, India. He received the M E in Power Electronics and Drives from College of Engineering, Anna University, Chennai, India, 2003 and the Ph.D degree in Energy Efficient Multilevel Inverters from Government College of Engineering, Salem, Anna University, Chennai, India, 2011. His research interests are multilevel inverters, power converters and control for renewable energy systems and electric vehicles.