Towards load frequency management in thermal power systems using an improved open-source development model algorithm

Maintaining a balance between generated and consumed power is crucial for the efficient operation of interconnected power grids. This paper focuses on the issue of load frequency management in thermal power systems. We present a metaheuristic approach to address this problem, leveraging the advantag...

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Vydáno v:	Evolutionary intelligence Ročník 18; číslo 1; s. 9
Hlavní autoři:	Khezri, Edris, Rezaeipanah, Amin, Hassanzadeh, Hiwa, Majidpour, Jafar
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2025 Springer Nature B.V
Témata:	Accuracy Applications of Mathematics Artificial Intelligence Bioinformatics Cloud computing Control Costs Deep learning Efficiency Electrical loads Energy consumption Engineering Exploitation Genetic algorithms Heuristic methods Mathematical and Computational Engineering Mechatronics Optimization Optimization techniques Performance evaluation Research Paper Response time Robotics Scheduling Statistical Physics and Dynamical Systems Systems stability Thermoelectricity Workloads Thermal power systems Load frequency Metaheuristics Genetic algorithm Open-source development model algorithm
ISSN:	1864-5909, 1864-5917
On-line přístup:	Získat plný text
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