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Abstract
The rapid integration of renewable and decentralized energy sources is transforming the operation of power networks, leading to challenges in efficient electricity utilization, optimal harnessing of renewable energy, and maintaining stable voltage levels. To tackle these issues, clusters of multi-renewable energy systems are interconnected through electrical converters employing fuzzy controllers. Power quality (PQ) controllers have been developed for various renewable energy sources to meet the growing energy demands. Enhancing power electronics separation based on power storage and distributed generation offers significant opportunities for managing PQ. This research focuses on improving the performance of smart hybrid multi-renewable energy systems using microgrids through the utilization of artificial neural networks (ANNs). The proposed approach incorporates a fuzzy controller-based pulse generation technique for a DC-to-AC inverter, ensuring efficient power conversion while maintaining PQ factors. The fuzzy controller effectively handles stringent constraints on process parameters by leveraging adjustable variables. Hardware evaluation and performance analysis were conducted using a peripheral interface controller (PIC) controller, providing an accurate representation of the results.
Data Availability Statement
Data sharing not applicable to this article as no datasets were generated or analyzed during the current study
Disclosure Statement
Conflict of interest is not applicable in this work.
Ethics Approval and Consent to Participate
No participation of humans takes place in this implementation process
Human and Animal Rights
No violation of Human and Animal Rights is involved.
Additional information
Notes on contributors
Sam Stanley R
Sam Stanley R is an Assistant Professor in the department of Electrical and Electronics Engineering, Christian College of Engineering and Technology, Oddanchatram, Dindigul, Tamilnadu, India. He graduated (B.E) in Electrical and Electronics Engineering (EEE) from Christian College of Engineering and Technology, Anna University, Tamilnadu, India in 2013 and Postgraduated (M.E) in Power Electronics and Drives (PED) at Christian College of Engineering and Technology from Anna University, Chennai, Tamilnadu, India in 2015. He has 7 years of academic excellence. His area of interests are power converters, Wireless Sensor Networks, Big data, Cloud computing and Internet of Things.
Pavalarajan S
Pavalarajan S is a professor in the department of IT, PSNA College of Engineering and Technology, Dindigul, Tamilnadu, India. He graduated (B.E) in Computer Science and Engineering (CSE) from Madurai Kamaraj University, Tamilnadu, India in 2000 and Postgraduated (M.E) in Computer Science and Engineering (CSE) from Anna University, Chennai, Tamilnadu, India in 2008. He pursued Doctorate (Ph.D.) degree in Information and communication Engineering (ICE) from Anna University, Chennai, Tamilnadu in 2014. He pursued MBA degree in systems from Madurai Kamaraj University, Madurai, Tamilnadu in 2020. He has 21 years of academic excellence and 1.5 years of Industrial experience. There are 11 Ph.D research scholars, under his guidance in Anna University, Chennai, out of which 3 have been awarded their Doctoral degree. His area of interests is Computer Networks, Wireless Sensor Networks, Big data, Cloud computing and Internet of Things.