Abstract
Short-term hydropower generation with several water reservoirs requires deciding, for each moment in time, the volume of water (flow) that is released from every reservoir to be turbined and generate energy. Knowing the price of energy at every hour, the objective is to maximize the income earned from the generated energy. We present a PSO for solving the problem and compare it with a MILP model.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Akbarifard, S., Sharifi, M.R., Qaderi, K.: Data on optimization of the Karun-4 hydropower reservoir operation using evolutionary algorithms. Data Brief 1(29), 105048 (2020)
Azad, A.S., Rahaman, M.S.A., Watada, J., Vasant, P., Vintaned, J.A.G.: Optimization of the hydropower energy generation using meta-heuristic approaches: a review. Energy Rep. 6, 2230–2248 (2020)
Fu, X., Li, A., Wang, L., Ji, C.: Short-term scheduling of cascade reservoirs using an immune algorithm-based particle swarm optimization. Comput. Math. Appl. 62(6), 2463–2471 (2011)
Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of IEEE International Conference on Neural Networks, pp 1942–1948 (1995)
Labadie, J.W.: Optimal operation of multireservoir systems: state-of-the-art review. J. Water Resour. Plan. Manag. 130(2), 93–111 (2004)
Li, F.F., Wei, J.H., Fu, X.D., Wan, X.Y.: An effective approach to long-term optimal operation of large-scale reservoir systems: case study of the three gorges system. Water Resour. Manage 26, 4073–4090 (2012)
Lu, B., Li, K., Zhang, H., Wang, W., Gu, H.: Study on the optimal hydropower generation of Zhelin reservoir. J. Hydro Environ. Res. 7(4), 270–278 (2013)
Niu, W.J., Feng, Z.K., Cheng, C.T., Wu, X.Y.: A parallel multi-objective particle swarm optimization for cascade hydropower reservoir operation in southwest China. Appl. Soft Comput. 70, 562–575 (2018)
Sorachampa, P., Tippayawong, N., Ngamsanroaj, K.: Optimizing multiple reservoir system operation for maximum hydroelectric power generation. Energy Rep. 6, 67–75 (2020)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Rodrigo, C.F., Álvaro, GS., Guillermo, GS., Luis, PR.R., Carlos, GC.G., Miguel, O.M. (2024). Particle Swarm Optimization for Multireservoir Hydropower Optimization. In: Bautista-Valhondo, J., Mateo-Doll, M., Lusa, A., Pastor-Moreno, R. (eds) Proceedings of the 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023). CIO 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 206. Springer, Cham. https://doi.org/10.1007/978-3-031-57996-7_50
Download citation
DOI: https://doi.org/10.1007/978-3-031-57996-7_50
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-57995-0
Online ISBN: 978-3-031-57996-7
eBook Packages: EngineeringEngineering (R0)