A Relative Assessment of Genetic Algorithm and Binary Particle Swarm Optimization Algorithm for Maximizing the Annual Profit of an Indian Offshore Wind Farm

Year 2022, Issue: 15, 29 - 39, 22.06.2022

Prasun Bhattacharjee

Abstract

Since climate change is prompting cataclysmic consequences across the world, renewable power generation technologies like wind power recommend fitting substitutes to fossil fuels for dwindling greenhouse gas production. For facilitating the escalating energy requisite of its rising economic structure, India must track down newer cost-effective wind power generation prospects. The current study intends to maximize the annual profit of an offshore wind power generating site in the Gulf of Khambhat exercising artificial intelligence. Genetic algorithm and binary particle swarm optimization algorithm have been applied at the same time to weigh their relative proficiency. The conclusions of the evaluation verify the enhanced competence of genetic algorithm over binary particle swarm optimization in optimizing the deemed purpose.

Keywords

Offshore Wind Power, Genetic Algorithm, Binary Particle Swarm Optimization, Annual Profit, Gulf of Khambhat

References

• [1] B. Obama, "The irreversible momentum of clean energy," Science, vol. 355, no. 6321, pp. 126-129, 2017.
• [2] International Energy Agency, "Global Energy Review 2021," [Online]. Available: https://www.iea.org/reports/global-energy-review-2021/renewables. [Accessed 30 July 2021].
• [3] M. B. H. Kumar, S. Balasubramaniyan, S. Padmanaban and J. B. Holm-Nielsen, "Wind Energy Potential Assessment by Weibull Parameter Estimation Using Multiverse Optimization Method: A Case Study of Tirumala Region in India," Energies, vol. 12, no. 11, p. 2158, 2019.
• [4] 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.
• [5] 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.
• [6] Wikipedia, "Wind power in India," [Online]. Available: https://en.wikipedia.org/wiki/Wind_power_in_India. [Accessed 10 August 2021].
• [7] 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].
• [8] 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].
• [9] 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.
• [10] 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.
• [11] S. Kota, S. B. Bayne and S. Nimmagadda, "Offshore wind energy: A comparative analysis of UK, USA and India," Renewable and Sustainable Energy Reviews, vol. 41, p. 685–694, 2015.
• [12] 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.
• [13] G. Nagababu, S. S. Kachhwaha, N. K. Naidu and V. Savsani, "Application of reanalysis data to estimate offshore wind potential in EEZ of India based on marine ecosystem considerations," Energy, vol. 118, p. 622–631, 2017.
• [14] 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.
• [15] R. Kumar, T. Stallard and P. K. Stansby, "Large‐scale offshore wind energy installation in northwest India: Assessment of wind resource using Weather Research and Forecasting and levelized cost of energy.," Wind Energy, vol. 24, no. 2, p. 174–192, 2020.
• [16] 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.
• [17] 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.
• [18] 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.
• [19] 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.
• [20] 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.
• [21] 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, 2021.
• [22] 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.
• [23] 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.
• [24] 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.
• [25] 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.
• [26] J. Charles Rajesh Kumar, D. Vinod Kumar, D. Baskar, B. Mary Arunsi, R. Jenova and M. Majid, "Offshore wind energy status, challenges, opportunities, environmental impacts, occupational health, and safety management in India," Energy & Environment, p. 0958305X2094648, 2020.
• [27] C. B. Hasager, A. Pena, M. B. Christiansen, P. Astrup, M. Nielsen, F. Monaldo, D. Thompson and P. Nielsen, "Remote Sensing Observation Used in Offshore Wind Energy," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 1, no. 1, p. 67–79, 2008.
• [28] Z. Wu and H. Wang, "Research on Active Yaw Mechanism of Small Wind Turbines," Energy Procedia, vol. 16, p. 53–57, 2012.
• [29] H. S. Huang, "Distributed Genetic Algorithm for Optimization of Wind Farm Annual Profits," in The 14th International Conference on Intelligent System Applications to Power Systems, ISAP 2007, Kaohsiung, Taiwan, 2007.
• [30] Google, "[Google Earth Map of Gulf of Khambhat]," [Online]. Available: https://earth.google.com/web/@21.25810683,72.56091163,-102.31051105a,1055553.15311864d,35y,-0h,0t,0r. [Accessed 22 July 2021].
• [31] A. Turing, "Computing Machinery and Intelligence (1950)," in The Essential Turing, Oxford University Press, 2004.
• [32] J. Liu, Y. Mei and X. Li, "An Analysis of the Inertia Weight Parameter for Binary Particle Swarm Optimization," IEEE Transactions on Evolutionary Computation, vol. 20, no. 5, p. 666–681, 2016.
• [33] U. Bhaskar, "Adani Renewable places lowest bid in SECI’s wind auction," Mint, 2021.
• [34] 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.