Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
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. shashi.abhi@gmail.com
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
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl