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An Enhanced Genetic Algorithm For Annual Profit Maximization Of Wind Farm

Author

Listed:
  • Prasun BHATTACHARJEE

    (Jadavpur University, India)

  • Rabin K. JANA

    (Indian Institute of Management Raipur, India)

  • Somenath BHATTACHARYA

    (Jadavpur University, India)

Abstract

Due to the swelling human suffering caused by climate change and the rapidly exhausting reserve of fossil fuels, renewable energy generation processes have gained immense importance throughout the globe. Wind energy is a leading renewable power generation method. To advance the green transition of the electricity generation industry, wind farms should stay commercially sustainable. This paper aims to increase the yearly profit of a wind farm utilizing an enhanced genetic algorithm. A novel method of dynamically allotting the crossover and mutation probabilities has been proposed to increase the effectiveness of the genetic algorithm. The assessment results validate the superior competence of the proposed tactic over the standard invariable method of assigning the crossover and mutation factors.

Suggested Citation

  • Prasun BHATTACHARJEE & Rabin K. JANA & Somenath BHATTACHARYA, 2021. "An Enhanced Genetic Algorithm For Annual Profit Maximization Of Wind Farm," Journal of Information Systems & Operations Management, Romanian-American University, vol. 15(2), pages 14-23, December.
    • Handle: RePEc:rau:jisomg:v:15:y:2021:i:2:p:14-23
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    File URL: http://www.rebe.rau.ro/RePEc/rau/jisomg/WI21/JISOM-WI21-A02.pdf
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    References listed on IDEAS

    as
    1. Dinh Thanh Viet & Vo Van Phuong & Minh Quan Duong & Quoc Tuan Tran, 2020. "Models for Short-Term Wind Power Forecasting Based on Improved Artificial Neural Network Using Particle Swarm Optimization and Genetic Algorithms," Energies, MDPI, vol. 13(11), pages 1-22, June.
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    Cited by:

    1. Prasun Bhattacharjee & Somenath Bhattacharya, 2022. "Artificial Intelligence-Driven Competent Plan Of An Indian Wind Farm," Journal of Information Systems & Operations Management, Romanian-American University, vol. 16(2), pages 1-11, December.

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