A COMPARATIVE ANALYSIS OF ‘S’ AND ‘V’ TYPE TRANSFER FUNCTIONS FOR BINARY PARTICLE SWARM OPTIMIZATION ALGORITHM-BASED WIND FARM DESIGN SELECTION PROBLEM

Prasun Bhattacharjee () and Somenath Bhattacharya ()
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Prasun Bhattacharjee: Ramakrishna Mission Shilpapitha, India
Somenath Bhattacharya: Jadavpur University, India

Journal of Information Systems & Operations Management, 2023, vol. 17, issue 1, 33-47

Abstract: To check the upsurge of universal average temperature well below 2oC as projected by the Paris Agreement of 2016, renewable energy technologies like wind power must remain commercially feasible for enabling the green energy transition. The current study emphasizes the relevance of the Binary Particle Swarm Optimization method for solving wind farm layout selection problems. The relative efficiency of different transfer functions for attaining the minimum cost of energy has been examined. The research outcomes demonstrate the better competence of ‘S’ type transfer functions over the ‘V’ type ones for five terrain situations and wind-flow settings.

Date: 2023
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