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An Innovative Method to Hybrid Renewable Energy Controlling Strategy Using Artificial Techniques

Jewel Sikder Joy 1, Nesar Uddin 2, Md Saiful Islam 2 and Md. Tazul Islam 2
1. Institute of Energy Technology Chittagong University of Engineering and Technology (CUET), Chattogram-4349, Bangladesh
2. Dept. of EEE, Dept. of ETE, Dept. of ME Chittagong University of Engineering and Technology (CUET), Chattogram-4349, Bangladesh

Abstract— This study exhibits an optimal scheme for designing and analyzing a hybrid renewable energy management system (HREMS) with the help of artificial control techniques over conventional techniques. The system is an integration of photovoltaic array, AC wind generator, biogas generator, battery and converter. Size optimization of the system components has been done using Homer. For the utilization of renewable sources and minimization of the power loss, an energy management system has been designed and optimized through Fuzzy logic controller (FLC). FLC monitors the load demand and generates control signal for switching depending on knowledge based fuzzy rules and ensures the effective supply of energy to the load. To extract the maximum power from the photovoltaic array and to improve the system response a genetic algorithm tuned PID controller based maximum power point tracker (MPPT) is designed and employed to deliver maximum power at varying weather conditions. Simulation result of control technique has been compared with other conventional system like adaptive neuro fuzzy interference systems. Proposed method shows the improved efficiency in MPPT system, flexibility in use, cost effectiveness of management system and lower carbon emission.

Index Terms— Fuzzy Logic Controller (FLC), PID controller, Genetic Algorithm (GA), photovoltaic arrays, Maximum Power Point Tracker (MPPT), wind turbine, biogas generator

Cite: Jewel Sikder Joy, Nesar Uddin, Md Saiful Islam, and Md. Tazul Isl, "An Innovative Method to Hybrid Renewable Energy Controlling Strategy Using Artificial Techniques," International Journal of Mechanical Engineering and Robotics Research, Vol. 10, No. 3, pp. 137-150, March 2021. DOI: 10.18178/ijmerr.10.3.137-150

​Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.