Solving the Optimization Problem of Power Plant Equipment Dismantling Dynamics Using Nature-Inspired Algorithms
This paper addresses the problem of optimizing the operational lifespan of power generation equipment in electric power systems, with the aim of minimizing total costs associated with the commissioning of new capacities and the operation of existing ones, while meeting forecasted electricity demand. The underlying mathematical model is based on a vector non-classical Volterra integral equation of the first kind. It accounts for three types of generation, with equipment categorized by age groups and corresponding technical and economic characteristics. To solve the optimization problem, a genetic algorithm is employed - one of the most effective evolutionary modeling methods, known for its robustness in the presence of complex constraints and interdependencies. The paper presents the results of a numerical experiment to determine the optimal equipment lifetime profile over a forecast period under various energy consumption scenarios. © 2025 Elsevier B.V., All rights reserved.
Библиографическая ссылка
Prokofiev Egor, Markova E.V., Solodusha S.V. Solving the Optimization Problem of Power Plant Equipment Dismantling Dynamics Using Nature-Inspired Algorithms // Proceedings 2025 International Russian Automation Conference (RusAutoCon). 2025. P.388-392. DOI: 10.1109/RusAutoCon65989.2025.11177374
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