Abstract
In the operation optimization of cascade hydropower reservoirs, upstream reservoir outflow is usually taken as downstream reservoir inflow, which influences generation scheme accuracy when flow time-lag cannot be neglected. In this study, based on linear space mapping and bounded linear functional theory, the relationship between upstream reservoir outflow and downstream reservoir inflow is quantized. Their corresponding map functions and functional operators are proposed considering river channel storage capacity. Additionally, a short-term generation optimization model of cascade hydropower reservoirs considering flow time-lag is established, with no impact on the objective function and water balance. Furthermore, to verify the feasibility and effectiveness of the model, it is applied to the short-term generation optimization of Jinping-Guandi cascade hydropower reservoirs in Yalong River. Results tally more with the actual operation process compared with the original scheme. This work can increase generation scheduling accuracy and provide reference for short-term operation of cascade hydropower reservoirs.
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References
Zhang, W., et al.: Optimal operation of multi-reservoir systems considering time-lags of flood routing. Water Resour. Manag. 30, 523–540 (2015)
Xu, B., Zhong, P.A., Zhang, M., Zhang, J.: Short term optimization of cascade reservoirs operation considering flow routing. In: Asia-Pacific Power and Energy Engineering Conference, APPEEC (2012)
Zhong, P., Zhang, J., Xu, B., Zhang, M.: Daily optimal operation model of cascade reservoirs considering delay of flow propagation. Shuili Fadian Xuebao/J. Hydroelectr. Eng. 31, 34–38 (2012). (in Chinese)
Mou, C., Yu, Q., Hu, Y., Xu, H.: Research on short-term and provisional on-line hydropower dispatching based on neighboring cascade hydropower stations. Hongshui River 33, 29–35 (2014). (in Chinese)
Zhang, X.M., Wang, L.-P., Li, J.W., Zhang, Y.K.: Self-optimization simulation model of short-term cascaded hydroelectric system dispatching based on the daily load curve. Water Resour. Manag. 27, 5045–5067 (2013)
Ma, C., Lian, J., Wang, J.: Short-term optimal operation of three-gorge and Gezhouba cascade hydropower stations in non-flood season with operation rules from data mining. Energy Convers. Manag. 65, 616–627 (2013)
Wang, L., Wang, B., Zhang, P., Liu, M., Li, C.: Study on optimization of the short-term operation of cascade hydropower stations by considering output error. J. Hydrol. 549, 326–339 (2017)
Feng, M., et al.: Identifying changing patterns of reservoir operating rules under various inflow alteration scenarios. Adv. Water Resour. 104, 23–36 (2017)
Feng, Z.K., Niu, W.J., Cheng, C.T., Wu, X.Y.: Optimization of hydropower system operation by uniform dynamic programming for dimensionality reduction. Energy 134, 718–730 (2017)
Li, C., Zhou, J., Ouyang, S., Ding, X., Chen, L.: Improved decomposition-coordination and discrete differential dynamic programming for optimization of large-scale hydropower system. Energy Convers. Manag. 84, 363–373 (2014)
Bai, T., et al.: Synergistic gains from the multi-objective optimal operation of cascade reservoirs in the Upper Yellow River basin. J. Hydrol. 523, 758–767 (2015)
Jiang, Z., Ji, C., Sun, P., Wang, L., Zhang, Y.: Total output operation chart optimization of cascade reservoirs and its application. Energy Convers. Manag. 88, 296–306 (2014)
Acknowledgments
This study was financially supported by the 13th Five-Year National Key Program of China (2016YFC0402208, 2016YFC0402200), the Open Research Fund of State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin(China Institute of Water Resources and Hydropower Research) (IWHR-SKL-201420, 2016TS04), the National Science Foundation(51709105, 51279062), the Major Consulting Strategic Project of Engineering Institute (2016-ZD-08-05), the National Key R&D Program of China(2017YFC0405906) and the Fundamental Research Funds for the Central Universities (2016MS51, JB2015169, 2014XS51). The authors are grateful to the anonymous reviewers for their comments and valuable suggestions.
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Zhang, Y., You, J., Ji, C., Wu, J. (2018). Short-Term Operation Optimization of Cascade Hydropower Reservoirs with Linear Functional Analysis. In: Yuan, H., Geng, J., Liu, C., Bian, F., Surapunt, T. (eds) Geo-Spatial Knowledge and Intelligence. GSKI 2017. Communications in Computer and Information Science, vol 849. Springer, Singapore. https://doi.org/10.1007/978-981-13-0896-3_11
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DOI: https://doi.org/10.1007/978-981-13-0896-3_11
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