Application of Genetic Algorithm in Optimal Scheduling of Hydropower Station Reservoirs

Xiaoyan Zhang

2025

Abstract

The role of dispatch optimization in hydropower station management is very important, but there is the problem of inaccurate evaluation of results. The bat algorithm cannot solve the problem of scheduling optimization in hydropower station management, and the evaluation is unreasonable. Therefore, this paper proposes a genetic algorithm for the optimization analysis of innovative scheduling and scheduling. Firstly, the optimal dispatching scheme is used to evaluate the management of hydropower stations, and the indicators are divided according to the requirements of dispatching optimization to reduce the interference factors in dispatching optimization. Then, the optimal dispatching scheme innovates and optimizes the management of hydropower stations, forms a dispatching optimization scheme, and comprehensively analyzes the dispatching optimization results. The dispatching frequency model shows that under the condition of certain evaluation criteria, the genetic algorithm optimizes the accuracy of the dispatch of hydropower station reservoirs. The scheduling optimization time is better than that of the bat algorithm.

Paper Citation

in Harvard Style

Zhang X. (2025). Application of Genetic Algorithm in Optimal Scheduling of Hydropower Station Reservoirs. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 411-417. DOI: 10.5220/0013544600004664

in Bibtex Style

@conference{incoft25,
author={Xiaoyan Zhang},
title={Application of Genetic Algorithm in Optimal Scheduling of Hydropower Station Reservoirs},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={411-417},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013544600004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Application of Genetic Algorithm in Optimal Scheduling of Hydropower Station Reservoirs
SN - 978-989-758-763-4
AU - Zhang X.
PY - 2025
SP - 411
EP - 417
DO - 10.5220/0013544600004664
PB - SciTePress