Enhancing the Yearly Profit of a Wind Farm Using a Novel Transfer Function for Binary Particle Swarm Optimization Algorithm

Year 2022, Volume: 06 Issue: 1, 19 - 26, 31.08.2022

Prasun Bhattacharjee , Rabin K. Jana Somenath Bhattacharya

https://doi.org/10.34110/forecasting.1104066

https://izlik.org/JA76XH26JP

Abstract

While governments of quite a lot of nations and international alliances like the United Nations are perpetually striving for curtailing the emission of greenhouse gases for limiting the dangerous aftermaths of climate change, renewable energy resources like wind power can be utilized to realize an environment-friendly switchover of electricity generation projects. In this paper, Binary Particle Swarm Optimization Algorithm has been employed to enhance the yearly profit of a wind farm in Kayathar town of India with a novel transfer function. The optimization trial outcomes validate the superiority of the proposed transfer function when compared with similar ‘S’-type transfer functions.

Keywords

Binary Particle Swarm Optimization , Kayathar , Transfer Function , Wind Farm , Yearly Profit

Supporting Institution

Jadavpur University

Thanks

TEQIP Department

References

• B. Obama, "The irreversible momentum of clean energy," Science, vol. 355, no. 6321, pp. 126-129, 2017.
• J. Cousse, R. Wüstenhagen and N. Schneider, "Mixed feelings on wind energy: Affective imagery and local concern driving social acceptance in Switzerland," Energy Research & Social Science, vol. 70, p. 101676, December 2020.
• R. Sitharthan, J. N. Swaminathan and T. Parthasarathy, "Exploration of Wind Energy in India: A Short Review," in 2018 National Power Engineering Conference (NPEC), 2018.
• Wikipedia, "Wind power in India," [Online]. Available: https://en.wikipedia.org/wiki/Wind_power_in_India. [Accessed 10 August 2021].
• Ministry of Power, Government of India, "Renewable Generation Report," 2020. [Online]. Available: https://cea.nic.in/renewable-generation-report/?lang=en. [Accessed 23 July 2021].
• Global Wind Energy Council, "India Wind Outlook Towards 2022: Looking beyond headwinds," 2020. [Online]. Available: https://gwec.net/india-wind-outlook-towards-2022-looking-beyond-headwinds/. [Accessed 23 July 2021].
• C. B. Hasager, F. Bingöl, M. Badger, I. Karagali and E. Sreevalsan, "Offshore Wind Potential in South India from Synthetic Aperture Radar," Information Service Department Risø National Laboratory for Sustainable Energy Technical University of Denmark, 2011.
• R. Mani Murali, P. Vidya, P. Modi and S. Jaya Kumar, "Site selection for offshore wind farms along the Indian coast," Indian Journal of Geo-Marine Sciences, vol. 43, no. 7, pp. 1401-1406, 2014.
• G. Nagababu, R. Simha R, N. K. Naidu, S. S. Kachhwaha and V. Savsani, "Application of OSCAT satellite data for offshore wind power," in 5th International Conference on Advances in Energy Research, ICAER 2015, Mumbai, India, 2016.
• R. Singh and A. Kumar S.M., "Estimation of Off Shore Wind Power Potential and Cost Optimization of Wind Farm in Indian Coastal Region by Using GAMS," in 2018 International Conference on Current Trends Towards Converging Technologies (ICCTCT), 2018.
• P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "A Comparative Analysis of Genetic Algorithm and Moth Flame Optimization Algorithm for Multi-Criteria Design Optimization of Wind Turbine Generator Bearing," ADBU Journal of Engineering Technology, vol. 10, 2021.
• P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "A Comparative Study of Dynamic Approaches for Allocating Crossover and Mutation Ratios for Genetic Algorithm-based Optimization of Wind Power Generation Cost in Jafrabad Region in India," in Proceedings of International Conference on “Recent Advancements in Science, Engineering & Technology, and Management", Jaipur, India, 2021.
• P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "A Relative Analysis of Genetic Algorithm and Binary Particle Swarm Optimization for Finding the Optimal Cost of Wind Power Generation in Tirumala Area of India," ITM Web of Conferences, p. 03016, 2021.
• P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "A Relative Assessment of Genetic Algorithm and Binary Particle Swarm Optimization Algorithm for Maximizing the Annual Profit of an Indian Offshore Wind Farm," in Second International Conference on Applied Engineering and Natural Sciences, Konya, Turkey, 2022.
• P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "An Enhanced Genetic Algorithm for Annual Profit Maximization of Wind Farm," in Applied Informatics in Economy and Information Technology: "e-Society 2021 - Knowledge and Innovation: the Online Era", Bucharest, Romania, 2021.
• P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "An Enriched Genetic Algorithm for Expanding the Yearly Profit of Wind Farm," in Second International Symposium on Intelligence Design (ISID 2022), Tokyo, Japan, 2022.
• P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "An Improved Genetic Algorithm for Yearly Profit Maximization of Wind Power Generation System," in The 31st ACM SIGDA University Demonstration, New York, USA, 2021.
• P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "Augmenting the Yearly Profit of Wind Farm," in The 14th Regional Conference on Electrical and Electronics Engineering of Chulalongkorn University, Bangkok, Thailand, 2022.
• P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "Design Optimization of Cam in Computer-Aided Simulation Applications using Taguchi’s Experimentation Method," International Journal of Electrical and Computer System Design, 2021.
• P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "Maximizing the Yearly Profit of an Indian Nearshore Wind Farm," in First International Conference on Applied Engineering and Natural Sciences, Konya, Turkey, 2021.
• P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "Multi-Objective Design Optimization of Wind Turbine Blade Bearing," Invertis Journal of Science & Technology, vol. 14, no. 3, pp. 114-121, 2021.
• P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "Optimizing Offshore Wind Power Generation Cost in India," in Third New England Chapter of AIS (NEAIS) Conference, Boston, Massachusetts, 2021.
• P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "Realizing The Optimal Wind Power Generation Cost in Kayathar Region of India," in International Conference on Information, Communication and Multimedia Technology - 2021 (ICICMT - 2021), Madurai, 2021.
• R. K. Jana and P. Bhattacharjee, "A multi-objective genetic algorithm for design optimisation of simple and double harmonic motion cams," International Journal of Design Engineering, vol. 7, no. 2, pp. 77-91, 2017.
• S. Mirjalili, S. M. Hashim, G. Taherzadeh, S. Mirjalili and S. Salehi, "A Study of Different Transfer Functions for Binary Version of Particle Swarm Optimization," in International Conference on Genetic and Evolutionary Methods, 2011.
• U. Bhaskar, "Adani Renewable places lowest bid in SECI’s wind auction," Mint, 2021.
• P. Bhattacharjee, R. K. Jana and S. Bhattacharya, "Design Optimization of Simple Harmonic and Cycloidal Motion Cams," in 1st National Conference on Applied Science and Advanced Materials, 2021.
• A. Duggirala, R. K. Jana, R. V. Shesu and P. Bhattacharjee, "Design optimization of deep groove ball bearings using crowding distance particle swarm optimization," Sādhanā, vol. 43, no. 1, 2018.