Metaheuristic optimization algorithms comparison adopted for the profit maximization of electricity market participants

The electricity market faces numerous challenges due to the growing demand for energy, increasing penetration of renewable energy sources, and the need for grid reliability and efficiency. To address these challenges, optimization algorithms have emerged as essential tools for optimizing various asp...

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Bibliographic Details
Published in:	Journal of Electrical Systems Vol. 20; no. 6s; pp. 1032 - 1042
Main Authors:	Banker, Sumit, Chakravorty, Jaydeep, Bariya, Chetan, Chaudhari, Tejal, Brahmbhatt, Bhavik, Priyadarshi, Mitesh
Format:	Journal Article
Language:	English
Published:	Paris Engineering and Scientific Research Groups 29.04.2024
Subjects:	Dynamic programming Electric power demand Energy management Genetic algorithms Heuristic methods Integer programming Linear programming Machine learning Maximization Mixed integer Nonlinear programming Optimization algorithms Optimization techniques Particle swarm optimization Power dispatch Profit maximization Renewable energy sources Simulated annealing Unit commitment
ISSN:	1112-5209
Online Access:	Get full text
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