Large-Scale Unit Commitment for Cascaded Hydropower Plants with Hydraulic Coupling and Head-Sensitive Forbidden Zones: Case of the Xiluodu and Xiangjiaba Hydropower System
Publication: Journal of Water Resources Planning and Management
Volume 146, Issue 11
Abstract
This study presents a methodology for optimizing the unit commitment (UC) of the Xiluodu and Xiangjiaba cascaded hydropower plants that rank as the second- and third-largest hydropower plants in China. This UC problem exhibits high complexity due to the integrated consideration of hydraulic coupling between plants, head-sensitive forbidden zones, and other hydropower system nonlinearities. Hydraulic coupling is considered through a group of nonlinear tailrace level curves that are represented using binary 0–1 variables. The interval segmentation is used to determine the binary value by quickly identifying the forebay level range of the immediate downstream plant. The irregular forbidden zones are divided into several quadrangles to approximately describe the upper and lower boundaries using linear functions of the net head. The described forbidden zone boundaries are further integrated with power generation limitations to determine discontinuous safe operating zones. With the aid of polynomial approximations of other nonlinearities, the presented problem is finally formulated as a mixed-integer nonlinear programming (MINLP) model and addressed by an optimization method based on the branch-and-bound technique. The practical behavior of the proposed methodology is demonstrated by real-world data. Moreover, the MINLP model is compared with a commonly used mixed-integer linear programming model and shows improvements in solution accuracy and computational efficiency.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions (e.g., anonymized data).
Acknowledgments
The National Natural Science Foundation of China (No. 51579029), the Fundamental Research Funds for the Central Universities (No. DUT19JC43), and the open research fund of Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station (2019KJX06) supported this research. The authors are very grateful to the anonymous reviewers and editors for their constructive comments.
References
Abujarad, S. Y., M. W. Mustafa, and J. J. Jamian. 2017. “Recent approaches of unit commitment in the presence of intermittent renewable energy resources: A review.” Renewable Sustainable Energy Rev. 70 (Apr): 215–223. https://doi.org/10.1016/j.rser.2016.11.246.
Borghetti, A., C. D’Ambrosio, A. Lodi, and S. Martello. 2008. “An MILP approach for short-term hydro scheduling and unit commitment with head-dependent reservoir.” IEEE Trans. Power Syst. 23 (3): 1115–1124. https://doi.org/10.1109/TPWRS.2008.926704.
Catalão, J., S. Mariano, V. Mendes, and L. Ferreira. 2009a. “Scheduling of head-sensitive cascaded hydro systems: A nonlinear approach.” IEEE Trans. Power Syst. 24 (1): 337–346. https://doi.org/10.1109/TPWRS.2008.2005708.
Catalão, J., S. Mariano, V. Mendes, and L. Ferreira. 2010. “Nonlinear optimization method for short-term hydro scheduling considering head-dependency.” Eur. Trans. Electr. Power 20 (2): 172–183. https://doi.org/10.1002/etep.301.
Catalão, J., H. M. I. Pousinho, and V. M. F. Mendes. 2009b. “Profit-based head-sensitive behavior of a hydro chain: Mixed-integer nonlinear method.” In Vol. 1–5 of Proc., 2009 IEEE Bucharest PowerTech, 1–6. New York: IEEE.
Chang, C., and J. Waight. 1999. “A mixed integer linear programming based hydro unit commitment.” In Vol. 2 of Proc. Power Engineering Social Summer Meeting, 924–928. New York: IEEE.
Chang, G. W., M. Aganagic, J. G. Waight, J. Medina, T. Burton, S. Reeves, and M. Christoforidis. 2001. “Experiences with mixed integer linear programming based approaches on short-term hydro scheduling.” IEEE Trans. Power Syst. 16 (4): 743–749. https://doi.org/10.1109/59.962421.
Cheng, C., and C. Liu. 2000. “Unit commitment by Lagrangian relaxation and genetic algorithms.” IEEE Trans. Power Syst. 15 (2): 707–714. https://doi.org/10.1109/59.867163.
Cheng, C. T., J. Y. Wang, and X. Y. Wu. 2016. “Hydro unit commitment with a head-sensitive reservoir and multiple vibration zones using MILP.” IEEE Trans. Power Syst. 31 (6): 4842–4852. https://doi.org/10.1109/TPWRS.2016.2522469.
Conejo, A. J., J. M. Arroyo, J. Contreras, and F. A. Villamor. 2002. “Self-scheduling of a hydro producer in a pool-based electricity market.” IEEE Trans. Power Syst. 17 (4): 1265–1272. https://doi.org/10.1109/TPWRS.2002.804951.
Dembele, M. 2019. “Gap-filling of daily streamflow time series using direct sampling in various hydroclimatic settings.” J. Hydrol. 569 (Feb): 573–586. https://doi.org/10.1016/j.jhydrol.2018.11.076.
Finardi, E. C., and M. R. Scuzziato. 2013. “Hydro unit commitment and loading problem for day-ahead operation planning problem.” Int. J. Electr. Power Energy Syst. 44 (1): 7–16. https://doi.org/10.1016/j.ijepes.2012.07.023.
Finardi, E. C., E. L. D. Silva, and C. Sagastizabal. 2005. “Solving the unit commitment problem of hydropower plants via Lagrangian relaxation and sequential quadratic programming.” J. Comput. Appl. Math. 24 (3): 317–341. https://doi.org/10.1590/S0101-82052005000300001.
Finardi, E. C., F. Y. K. Takigawa, and B. H. Brito. 2016. “Assessing solution quality and computational performance in the hydro unit commitment problem considering different mathematical programming approaches.” Electr. Power Syst. Res. 136 (Jul): 212–222. https://doi.org/10.1016/j.epsr.2016.02.018.
Fu, Y., Z. Li, and L. Wu. 2013. “Modeling and solution of the large-scale security-constrained unit commitment.” IEEE Trans. Power Syst. 28 (4): 3524–3533. https://doi.org/10.1109/TPWRS.2013.2272518.
García-González, J., and G. Castro. 2001. “Short-term hydro scheduling with cascaded and head-dependent reservoirs based on mixed-integer linear programming.” In Vol. 3 of Proc., IEEE Porto PowerTech, 6. New York: IEEE.
García-Gonzáleza, J., E. Parrilla, and A. Mateo. 2007. “Risk-averse profit-based optimal scheduling of a hydro-chain in the day-ahead electricity market.” Eur. J. Oper. Res. 181 (3): 1354–1369. https://doi.org/10.1016/j.ejor.2005.11.047.
Gau, C. Y., and L. E. Schrage. 2004. “Implementation and testing of a branch-and-bound based method for deterministic global optimization: Operations research applications.” In Vol. 74 of Proc., Frontiers in Global Optimization, 145–164. Boston: Springer.
Guan, X. H., A. Svoboda, and C. A. Li. 1999. “Scheduling hydro power systems with restricted operating zones and discharge ramping constraints.” IEEE Trans. Power Syst. 14 (1): 126–131. https://doi.org/10.1109/59.744500.
Guede, L. S. M., P. D. Maia, and A. C. Lisboa. 2017. “A unit commitment algorithm and a compact MILP model for short-term hydro-power generation scheduling.” IEEE Trans. Power Syst. 32 (5): 3381–3390. https://doi.org/10.1109/TPWRS.2016.2641390.
He, G. Y., S. Y. Lin, and H. Q. Di. 2009. “Optimal operation of large hydropower plants with complex hydraulic system.” Autom. Electr. Power Syst. 33 (5): 100–102.
Hidalgo, I. G., P. B. Correia, F. J. Arnold, J. P. F. Estrócio, R. S. de Barros, J. P. Fernandes, and W. W. G. Yeh. 2015. “Hybrid model for short-term scheduling of hydropower systems.” J. Water Resour. Plann. Manage. 141 (3): 04014062. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000444.
Ji, C., H. Yu, J. Wu, X. Yan, and R. Li. 2018. “Research on cascade reservoirs’ short-term optimal operation under the effect of reverse regulation.” Water 10 (6): 808. https://doi.org/10.3390/w10060808.
Jurasz, J., and B. Ciapała. 2017. “Integrating photovoltaics into energy systems by using a run-off-river power plant with pondage to smooth energy exchange with the power gird.” Appl. Energy 198 (Jul): 21–35. https://doi.org/10.1016/j.apenergy.2017.04.042.
Karimanzira, D., D. Schwanenberg, C. Allen, and S. Barton. 2016. “Short-term hydropower optimization and assessment of operational flexibility.” J. Water Resour. Plann. Manage. 142 (2): 04015048. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000577.
Kazarlis, S. A., A. G. Bakirtzis, and V. Petridis. 1996. “A genetic algorithm solution to the unit commitment problem.” IEEE Trans. Power Syst. 11 (1): 83–92. https://doi.org/10.1109/59.485989.
Koltsaklis, N. E., and A. S. Dagoumas. 2018. “Incorporating unit commitment aspects to the European electricity markets algorithm: An optimization model for the joint clearing of energy and reserve markets.” Appl. Energy 231 (Dec): 235–258. https://doi.org/10.1016/j.apenergy.2018.09.098.
Li, W. W., and J. Zheng. 2012. “Unit commitment of hydropower station considering vibration zone.” Water Resour. Power 30 (9): 122–124.
Li, X., T. Li, J. Wei, G. Wang, and W. W. G. Yeh. 2014. “Hydro unit commitment via mixed integer linear programming: A case study of the three gorges project, China.” IEEE Trans. Power Syst. 29 (3): 1232–1241. https://doi.org/10.1109/TPWRS.2013.2288933.
Linderoth, J. 2005. “A simplicial branch and bound algorithm for solving quadratically constrained quadratic programs.” Math. Program. 103 (2): 251–282. https://doi.org/10.1007/s10107-005-0582-7.
Lopez-Salgado, C. J., O. Ano, and D. M. Ojeda-Esteybar. 2018. “Stochastic unit commitment and optimal allocation of reserves: A hybrid decomposition approach.” IEEE Trans. Power Syst. 33 (5): 5542–5552. https://doi.org/10.1109/TPWRS.2018.2817639.
Mantawy, A. H., Y. L. Abdel-Magid, and S. Z. Selim. 1999. “Integrating genetic algorithms, tabu search, and simulated annealing for the unit commitment problem.” IEEE Trans. Power Syst. 14 (3): 829–836. https://doi.org/10.1109/59.780892.
Marchand, A., M. Gendreau, M. Blais, and G. Emiel. 2019. “Efficient tabu search procedure for short-term planning of large-scale hydropower systems.” J. Water Resour. Plann. Manage. 145 (7): 04019025. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001064.
Ni, E., X. H. Guan, and R. H. Li. 1999. “Scheduling hydrothermal power systems with cascaded and head-dependent reservoirs.” IEEE Trans. Power Syst. 14 (3): 1127–1132. https://doi.org/10.1109/59.780941.
Nilsson, O., and D. Sjelvgren. 1997. “Variable splitting applied to modeling of start-up costs in short term hydro generation scheduling.” IEEE Trans. Power Syst. 12 (2): 770–775. https://doi.org/10.1109/59.589678.
Raber, U. 1998. “A simplicial branch and bound method for solving nonconvex all quadratic programs.” J. Global Optim. 13 (4): 417–432. https://doi.org/10.1023/A:1008377529330.
Ramesh, S. V. T., and S. P. Simonovic. 2000. “Short-term operation model for coupled hydropower reservoirs.” J. Water Resour. Plann. Manage. 126 (2): 98–106. https://doi.org/10.1061/%28ASCE%290733-9496%282000%29126%3A2%2898%29.
Sheble, G. B., and G. N. Fahd. 1994. “Unit commitment literature synopsis.” IEEE Trans. Power Syst. 9 (1): 128–135. https://doi.org/10.1109/59.317549.
Shen, J., C. Cheng, R. Cao, Q. Shen, X. Li, Y. Wu, and B. Zhou. 2019a. “Generation scheduling of hydro-dominated provincial system considering forecast errors of wind and solar power.” J. Water Resour. Plann. Manage. 145 (10): 04019043. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001109.
Shen, J., C. Cheng, Q. Shen, J. Lu, and J. Zhang. 2019b. “Overview of China’s hydropower absorption: Evolution, problems, and suggested solutions.” IET Renewable Power Gener. 13 (14): 2491–2501. https://doi.org/10.1049/iet-rpg.2019.0469.
Shen, J., X. Zhang, J. Wang, R. Cao, S. Wang, and J. Zhang. 2019c. “Optimal operation of interprovincial hydropower system including Xiluodu and local plants in multiple recipient regions.” Energies 12 (1): 144. https://doi.org/10.3390/en12010144.
Shen, J. J., C. T. Cheng, X. Cheng, and J. R. Lund. 2016. “Coordinated operations of large-scale UHVDC hydropower and conventional hydro energies about regional power grid.” Energy 95 (Jan): 433–446. https://doi.org/10.1016/j.energy.2015.12.011.
Siu, T. K., G. A. Nash, and Z. K. Shawwash. 2001. “A practical hydro, dynamic unit commitment and loading model.” IEEE Trans. Power Syst. 16 (2): 301–306. https://doi.org/10.1109/59.918302.
Snyder, W. L., H. D. Powell, and J. C. Rayburn. 1987. “Dynamic programming approach to unit commitment.” IEEE Trans. Power Syst. 2 (2): 339–348. https://doi.org/10.1109/TPWRS.1987.4335130.
Taktak, R., and C. D’Ambrosio. 2017. “An overview on mathematical programming approaches for the deterministic unit commitment problem in hydro valleys.” Energy Syst. 8 (1): 57–79. https://doi.org/10.1007/s12667-015-0189-x.
Tong, B., Q. Z. Zhai, and X. H. Guan. 2013. “An MILP based formulation for short term hydro generation scheduling with analysis of the linearization effects on solution feasibility.” IEEE Trans. Power Syst. 28 (4): 3588–3599. https://doi.org/10.1109/TPWRS.2013.2274286.
Turgeon, A. 1981. “Optimal short-term hydro scheduling from the principle of progressive optimality.” Water Resour. Res. 17 (3): 481–486.
Vijay, A., N. Fouquet, I. Staffell, and A. Hawkes. 2017. “The value of electricity and reserve services in low carbon electricity systems.” Appl. Energy 201 (Sep): 111–123. https://doi.org/10.1016/j.apenergy.2017.05.094.
Virmani, S., E. C. Adrian, K. Imhof, and S. Mukherjee. 1989. “Implementation of a Lagrangian relaxation based unit commitment problem.” IEEE Trans. Power Syst. 4 (4): 1373–1380. https://doi.org/10.1109/59.41687.
Wang, J. W., M. Guo, and Y. Liu. 2018a. “Hydropower unit commitment with nonlinearity decoupled from mixed integer nonlinear problem.” Energy 150 (May): 839–846. https://doi.org/10.1016/j.energy.2018.02.128.
Wang, J. W., W. B. Hu, and S. Q. Liu. 2018b. “Short-term hydropower scheduling model with two coupled temporal scales.” J. Water Resour. Plann. Manage. 144 (2): 04017095. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000889.
Wu, L., M. Shahidehpour, and Z. Li. 2008. “GENCO’s risk-constrained hydrothermal scheduling.” IEEE Trans. Power Syst. 23 (4): 1847–1858. https://doi.org/10.1109/TPWRS.2008.2004748.
Xie, M. F., J. Z. Zhou, C. L. Li, and P. Lu. 2016. “Daily generation scheduling of cascade hydro plants considering peak shaving constraints.” J. Water Resour. Plann. Manage. 142 (4): 04015072. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000622.
Yi, J., J. W. Labadie, and S. Stitt. 2003. “Dynamic optimal unit commitment and loading in hydropower systems.” J. Water Resour. Plann. Manage. 129 (5): 388–398. https://doi.org/10.1061/(ASCE)0733-9496(2003)129:5(388).
Yuan, X., A. Su, H. Nie, Y. Yuan, and L. Wang. 2011. “Unit commitment problem using enhanced particle swarm optimization algorithm.” Soft Comput. 15 (1): 139–148. https://doi.org/10.1007/s00500-010-0541-y.
Information & Authors
Information
Published In
Copyright
© 2020 American Society of Civil Engineers.
History
Received: Jul 10, 2019
Accepted: Jun 11, 2020
Published online: Aug 31, 2020
Published in print: Nov 1, 2020
Discussion open until: Jan 31, 2021
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.