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Article type: Research Article
Authors: Gandhar, Shashi; * | Ohri, Jyoti | Singh, Mukhtiar
Affiliations: Department of Electrical and Electronics Engineering, BVCOE, New Delhi, India | Department of Electrical Engineering, NIT, Kurukshetra, India | Department of Electrical Engineering, DTU, New Delhi, India
Correspondence: [*] Corresponding Author. [email protected]
Abstract: Renewable Energy Sources (RES) have always been seen as a sustainable and environment-friendly solution to the energy needs of the globe. It is a club of many sources that have been explored widely in the last five decades, and many ways have been designed to harness energy from these sources. But unavailability at all times and fluctuations affect the power quality and reliability of these units. Many adaptive techniques have been designed to maintain these parameters of energy systems. The development is still going on and will go on to find more efficient techniques to extract reliable and quality power. This study presents a bibliographic view of the research in this area for different adaptive techniques. This study also presented an ongoing trend and the future possibilities and past successes that have been achieved in this arena. In the paper, many papers have been reviewed on the recent development in adaptive techniques for power systems in the last five decades. IEEE, the biggest source platform for researchers and scientists, is considered for a survey and statistical analysis of recent developments. Based on a survey and detailed study, graphical analysis is designed to give a very accomplished perspective of adaptive techniques in energy systems for the researchers. The present study suggested many measures and techniques which can contribute to establishing renewable energy systems, thus, decreasing pollution and providing a clean, green and sustainable environment. This study presents a Hybrid energy system with hybrid adaptive techniques as a key solution to overcome the problem of pollution using RES as much as possible and to satisfy the energy demand also. This study can be a major reference point for researchers and power engineers for providing an environment-friendly and sustainable RES-based energy solutions.
Keywords: RES, Neural, fuzzy, ANN, GA, PSO
DOI: 10.3233/AJW220093
Journal: Asian Journal of Water, Environment and Pollution, vol. 19, no. 6, pp. 93-102, 2022
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