Abstract
Existing studies on reservoir hydropower generation scheduling mostly use the static reservoir capacity method, which introduces large errors in scheduling calculations for river-type reservoirs. As a typical river-type reservoir, the Three Gorges Reservoir in China uses the dynamic reservoir capacity method for improved scheduling of the hydropower generation scheduling process. This study investigated the short-term power generation scheduling of the Three Gorges Reservoir, and established a dynamic capacity short-term hydropower generation scheduling model based on a one-dimensional unsteady flow model. Considering the measured actual water level before the dam and the inflow process, model simulation schemes were established according to the dispatching regulations, and 94,479 scheduling schemes were generated. Different schemes were simulated using the dynamic capacity hydropower scheduling model (DCHSM) to derive the maximum power generation scheme. Then, this scheme was compared with the optimal scheme of the static capacity hydropower scheduling model. Results revealed that use of the optimal scheme of the static capacity hydropower scheduling model could generate power output of 1.765 billion kWh, while the maximum power output of the DCHSM scheme was calculated at 1.792 billion kWh. In comparison with the actual power of 1.777 billion kWh, use of the DCHSM could increase power output by approximately 0.90%. The calculated power output process has reasonable agreement with the actual scheduling process and, contributes to refinement of reservoir scheduling. The findings of this study could provide technical support for refined short-term scheduling of river-type reservoirs.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Availability of data and materials
The data that support the findings of this study are available from the corresponding author upon reasonable request.
References
Ahmed JA, Sarma AK (2005) Genetic algorithm for optimal operating policy of a multipurpose reservoir. Water Resour Manag 19(2):145–161
Avesani D, Zanfei A, Di Marco N, Galletti A, Ravazzolo F, Righetti M, Majone B (2022) Short-term hydropower optimization driven by innovative time-adapting econometric model. Appl Energy 310:118510
Ayvaz MT, Gurarslan G (2017) A new partitioning approach for nonlinear Muskingum flood routing models with lateral flow contribution. J Hydrol 553:142–159
Changjiang Water Resources Commission (1992) Preliminary design report of the Three Gorges Project of Yangtze River
Chen J, Zhong PA, Zhao YF (2014) Research on a layered coupling optimal operation model of the Three Gorges and Gezhouba cascade hydropower stations. Energy Convers Manag 86:756–763
Chen SL, You ZQ, Ji CM (1999) Research on the flood-regulation method of reservoir backwater storage. Water Resour Power 17(4):27–30
China Three Gorges Corporation (2019) Cascade dispatching ruler of the Three Gorges Project and Gezhouba Dam (for normal runtime). Ministry Water Resour (China)
Daadaa M, Séguin S, Demeester K, Anjos MF (2021) An optimization model to maximize energy generation in short-term hydropower unit commitment using efficiency points. Int J Electr Power Energy Syst 125:106419
Daneshgar S, Zahedi R (2022) Investigating the hydropower plants production and profitability using system dynamics approach. J Energy Sto 46:103919
de Saint B, Venant A (1871) Theorie du mouvement non-permanent des eaux avec application aux crues des rivers et a l’introduntion des Marees dans leur lit. Academic De Sci Comptes Redus 73(99):148–154
Feng SZ, Zheng H, Qiao YF, Yang ZT, Wang JW, Liu SQ (2022) Weekly hydropower scheduling of cascaded reservoirs with hourly power and capacity balances. Appl Energy 311:118620
Hamidreza R, Yuan SY, Tang XN, Lu CH, Singh P, Dehrashid FA (2022) Study on conveyance coefficient influenced by momentum exchange under steady and unsteady flows in compound open channels. Water Resour Manag 36:2179–2199
Ji CM, Li CG, Wang BQ, Liu MH, Wang LP (2017) Multi-stage dynamic programming method for short-term cascade reservoirs optimal operation with flow attenuation. Water Resour Manag 31(14):4571–4586
Ji CM, Liu Y, Wang Y, Zhang YK, Xie YT (2021) Considering water propagation impact in short-term optimal operation of cascade reservoirs using Nested Progressive Optimality Algorithm. J Hydrol 602:126764
Lakshminarasimman L, Subramanian S (2008) A modified hybrid differential evolution for short-term scheduling of hydrothermal power systems with cascaded reservoirs. Energy Convers Manag 49(10):2513–2521
Lei KX, Chang JX, Wang YM, Guo AJ, Huang MD, Bo X (2022) Cascade hydropower stations short-term operation for load distribution considering water level synchronous variation. Renew Energy 196:683–693
Liao SL, Liu H, Liu ZW, Liu BX, Li G, Li SS (2021) Medium-term peak shaving operation of cascade hydropower plants considering water delay time. Renew Energy 179:406–417
Liu MY, Huang YC, Li ZJ, Tong BX, Liu ZT, Sun MK, Jiang FQ, Zhang HC (2020) The applicability of LSTM-KNN model for real-time flood forecasting in different climate zones in China. Water 12(2):440
Liu RH, Wei JH, Li X (2012) Calculation of comprehensive power output coefficient of a hydropower station and its effects on simulating the regulation process. South-to-North Water Tfrs Water Sci Technol 10(01):14–17
Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models part I—A discussion of principles. J Hydrol 10(3):282–290
Peng Y, Chen K, Ji CM (2018) Backwater storage characteristic and its effect on flood control in Xiangjiaba Reservoir. J Basic Sci Engr 26(02):239–248
Sun HL, Wang D, Wu YY, Jin LX, Liu WJ (2017) Analysis for the effect of hydropower and water conservancy engineering on basin eco-environment in the upper Yangtze River. Environ Prot 45(15):37–40
Tong SC, Zhou JJ (2003) Study of the approximate method of calculating the flood control capacity of mountainous reservoirs. J Hydroelectr Engr 22(3):74–82
Wu ZH, Liu DD, Mei YD, Guo SL, Xiong LH, Liu P, Yin JB, Zeng YJ (2022) Delayed feedback between adaptive reservoir operation and environmental awareness within water supply-hydropower generation-environment nexus. J Clean Prod 345:131181
Yang Z, Yang K, Wang YF, Su LW, Hu H (2020) Multi-objective short-term hydropower generation operation for cascade reservoirs and stochastic decision making under multiple uncertainties. J Clean Prod 276:122995
Yuan WL, Wu ZN, Huang Q, Wan F (2012) The application of study on co-evolutionary particle swarm optimization in short time cascade reservoir power generation optimized operation. Syst Engr Theory Prac 32(05):1136–1142
Yuan WL, Zhang SJ, Su CG, Wu Y, Yan DH, Wu ZN (2022) Optimal scheduling of cascade hydropower plants in a portfolio electricity market considering the dynamic water delay. Energy 252:124025
Zhang SH, Jing Z, An WJ, Zhang RQ, Yi YJ (2022) Flood-control ability of the Three Gorges Reservoir and upstream cascade reservoirs during catastrophic flooding. Scientia Sinica (technologica) 52(05):795–806
Zhang SH, Jing Z, Yi YJ, Wu Y, Zhao Y (2017) The dynamic capacity calculation method and the flood control ability of the Three Gorges Reservoir. J Hydrol 555:361–370
Zhong PA, Zhang JH, Xu B, Zhang MR (2012) Daily optimal operation model of cascade reservoirs considering delay of flow propagation. J Hydroelectric Engr 31(4):34–38
Zhong ZY, Li WJ, An YG (2010) Study on dynamic reservoir capacity and flood control capacity of Three Gorge Reservoir. Water Resour Power 28(3):36–38
Zhou JJ, Cheng GW, Yuan J, Wang YH, Fan JH, Wu DY, Jin Y (2013) Dynamic storage of Three Gorges reservoir and its application to flood regulations: 1. Sensitivity in Regulation J Hydroelectric Engr 32(1):163–167
Zhou JZ, He ZZ, Jia BJ, Zhang YZ (2020) Research and application of system dynamic modeling method for long-term, medium-term and short-term nested forecasting and dispatching coupled real-time inflow of hydropower station. J Hydr Engr 51(06):642–652
Acknowledgements
We thank Liwen Bianji (Edanz) (www.liwenbianji.cn) for editing the English text of a draft of this manuscript.
Funding
This study was supported by the National Natural Science Foundation of China (52061135104), and the Fundamental Research Funds for the Central Universities (2022YQ004).
Author information
Authors and Affiliations
Contributions
Rongqi Zhang: Conceptualization, Methodology, Investigation, Software, Writing; Shanghong Zhang: Supervision, Conceptualization, Methodology, Resources, Validation; Xiaoxiong Wen: Writing, Validation; Zhu Jing: Model development.
Corresponding author
Ethics declarations
Competing Interests
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Zhang, R., Zhang, S., Wen, X. et al. Refined Scheduling Based on Dynamic Capacity Model for Short-term Hydropower Generation. Water Resour Manage 37, 21–35 (2023). https://doi.org/10.1007/s11269-022-03352-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11269-022-03352-5