APPLIANCE OF METAHEURISTIC ALGORITHMS FOR IMPROVING THE DESIGN OF A WIND POWER GENERATION SYSTEM IN THE INDIAN STATE OF TAMIL NADU

Prasun Bhattacharjee (), Rabin K. Jana () and Somenath Bhattacharya ()
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Rabin K. Jana: Indian Institute of Management Raipur, India
Somenath Bhattacharya: Jadavpur University, India

Journal of Information Systems & Operations Management, 2022, vol. 16, issue 1, 16-29

Abstract: Wind power is significant and consistently expanding renewable energy generation technology. For progressing the environment-friendly changeover of the electricity generation trades as recommended by the Paris agreement of 2015, wind power generation farms need to remain financially viable through effective optimization of their layouts. This paper aspires to enhance the annual profit of an onshore wind power generation site at Kayathar town in the Indian state of Tamil Nadu by employing artificial intelligence- enabled metaheuristic algorithms like Genetic Algorithm and Binary Particle Swarm Optimization Algorithm. The optimization outcomes have been compared for three randomly selected terrain settings. The evaluation solutions confirm the enhanced capability of the Genetic Algorithm over the Binary Particle Swarm Optimization Algorithm for improving the profitability of the proposed wind farm in India.

Date: 2022
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