Long-Term Market Competition Analysis for Hydropower Stations using SSDP-Games
Publication: Journal of Water Resources Planning and Management
Volume 146, Issue 6
Abstract
With the development of the power market in China, the operation of hydropower stations will be changed significantly. In a competitive environment, each hydropower station or station group tries to improve its own net benefits, compared to maximizing a power grid-level objective with centralized scheduling. To analyze the impact of market reformation on hydropower operations, both noncooperative and cooperative sampling stochastic dynamic programing game (SSDP-game) models are proposed in this paper to obtain monthly operation policies under a competitive environment. The models are tested using data for the hydropower stations of Longtan, Xiaowan, and Goupitan and a hypothetical demand curve. The results show the potential increase in net benefits and potential energy loss of each station, along with the influential factors of the gaming approach. The seasonal regulation demands, typically addressed through firm power constraints, are better achieved through market competition, with 1.0%–5.0% energy losses at individual stations.
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Data Availability Statement
Some data, models, or code generated or used during the study are available from the corresponding author by request.
Acknowledgments
The research work described in this paper is supported by the National Nature Science Foundation of China (51679027, 91647113, and 91547201).
References
Barroso, L., R. Carneiro, S. Granville, M. Pereira, and M. Fampa. 2006. “Nash equilibrium in strategic bidding: A binary expansion approach.” IEEE Trans. Power Syst. 21 (2): 629–638. https://doi.org/10.1109/TPWRS.2006.873127.
Chang, J., Y. Li, M. Yuan, and Y. Wang. 2017. “Efficiency evaluation of hydropower station operation: A case study of Longyangxia Station in the Yellow River, China.” Energy 135 (Sep): 23–31. https://doi.org/10.1016/j.energy.2017.06.049.
Chen, F., B. Liu, C. Cheng, and A. Mirchi. 2017. “Simulation and regulation of market operation in hydro-dominated environment: The Yunnan case.” Water 9 (8): 623. https://doi.org/10.3390/w9080623.
Cheng, C., J. Shen, X. Wu, and K. Chau. 2012. “Operation challenges for fast-growing China’s hydropower systems and respondence to energy saving and emission reduction.” Renewable Sustainable Energy Rev. 16 (5): 2386–2393. https://doi.org/10.1016/j.rser.2012.01.056.
Cheng, C., L. Yan, A. Mirchi, and K. Madani. 2017. “China’s booming hydropower: Systems modeling challenges and opportunities.” J. Water Resour. Plann. Manage. 143 (1): 02516002. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000723.
Contreras, J., M. Klusch, and J. B. Krawczyk. 2004. “Numerical solutions to Nash–Cournot equilibria in coupled constraint electricity markets.” IEEE Trans. Power Syst. 19 (1): 195–206. https://doi.org/10.1109/TPWRS.2003.820692.
Flach, B. C., L. A. Barroso, and M. V. F. Pereira. 2010. “Long-term optimal allocation of hydro generation for a price-maker company in a competitive market: Latest developments and a stochastic dual dynamic programming approach.” IET Gener. Transm. Distrib. 4 (2): 299–314. https://doi.org/10.1049/iet-gtd.2009.0107.
Harsanyi, J. 1959. “A bargaining model for the cooperative n-person game.” In Contribution to the theory of games, 324–356. Princeton, NJ: Princeton University Press.
Hobbs, B. F. 2001. “Linear complementarity models of Nash–Cournot competition in bilateral and POOLCO power markets.” IEEE Trans. Power Syst. 16 (2): 194–202. https://doi.org/10.1109/59.918286.
Hui, R., J. R. Lund, and K. Madani. 2016. “Game theory and risk-based leveed river system planning with noncooperation.” Water Resour. Res. 52 (1): 119–134. https://doi.org/10.1002/2015WR017707.
Johnson, S. A., J. R. Stedinger, C. A. Shoemaker, Y. Li, and J. A. Tejada-Guibert. 1993. “Numerical solution of continuous-state dynamic programs using linear and spline interpolation.” Oper. Res. 41 (3): 484–500. https://doi.org/10.1287/opre.41.3.484.
Kelman, J., J. R. Stedinger, L. A. Cooper, E. Hsu, and S. Yuan. 1990. “Sampling stochastic dynamic programming applied to reservoir operation.” Water Resour. Res. 26 (3): 447–454. https://doi.org/10.1029/WR026i003p00447.
Kelman, R., L. A. N. Barroso, and M. V. F. Pereira. 2001. “Market power assessment and mitigation in hydrothermal systems.” IEEE Trans. Power Syst. 16 (3): 354–359. https://doi.org/10.1109/59.932268.
Li, H., P. Liu, S. Guo, B. Ming, L. Cheng, and Y. Zhou. 2018. “Hybrid two-stage stochastic methods usingscenario-based forecasts for reservoir refill operations.” J. Water Resour. Plann. Manage. 144 (12): 04018080. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001013.
Liu, P., X. Cai, and S. Guo. 2011. “Deriving multiple near-optimal solutions to deterministic reservoir operation problems.” Water Resour. Res. 47 (8): W08506. https://doi.org/10.1029/2011WR010998.
Loucks, D. P., J. R. Stedinger, and D. Haith. 1981. Water resource systems planning and analysis. Englewood Cliffs, NJ: Prentice-Hall.
Lund, J. R., and J. Guzman. 1999. “Derived operating rules for reservoirs in series or in parallel.” J. Water Resour. Plann. Manage. 125 (3): 143–153. https://doi.org/10.1061/(ASCE)0733-9496(1999)125:3(143).
Madani, K., and M. Hooshyar. 2014. “A game theory–reinforcement learning (GT–RL) method to develop optimal operation policies for multi-operator reservoir systems.” J. Hydrol. 519 (Nov): 732–742. https://doi.org/10.1016/j.jhydrol.2014.07.061.
Marques, G. F., and A. Tilmant. 2013. “The economic value of coordination in large-scale multireservoir systems: The Parana River case.” Water Resour. Res. 49 (11): 7546–7557. https://doi.org/10.1002/2013WR013679.
Moiseeva, E., and M. R. Hesamzadeh. 2017. “Bayesian and Robust nash equilibria in hydro-dominated systems under uncertainty.” IEEE Trans. Sustainable Energy 9 (2): 818–830. https://doi.org/10.1109/TSTE.2017.2762086.
Molina, J. P., J. M. Zolezzi, J. Contreras, H. Rudnick, and M. J. Reveco. 2011. “Nash-Cournot equilibria in hydrothermal electricity markets.” IEEE Trans. Power Syst. 26 (3): 1089–1101. https://doi.org/10.1109/TPWRS.2010.2077313.
Nash, J. 1953. “Two-person cooperative games.” Econometrica 21 (1): 128–140. https://doi.org/10.2307/1906951.
Pereira, M. V. F. 1989. “Optimal stochastic operations scheduling of large hydroelectric systems.” Int. J. Electr. Power Energy Syst. 11 (3): 161–169. https://doi.org/10.1016/0142-0615(89)90025-2.
Pereira, M. V. F., and L. M. V. G. Pinto. 1985. “Stochastic optimization of a multireservoir hydroelectric system: A decomposition approach.” Water Resour. Res. 21 (6): 779–792. https://doi.org/10.1029/WR021i006p00779.
Stedinger, J. R., B. F. Sule, and D. P. Loucks. 1984. “Stochastic dynamic programming models for reservoir operation optimization.” Water Resour. Res. 20 (11): 1499–1505. https://doi.org/10.1029/WR020i011p01499.
Tennant, D. L. 1976. “Instream flow regimens for fish, wildlife, recreation and related environmental resources.” Fisheries 1 (4): 6–10. https://doi.org/10.1577/1548-8446(1976)001%3C0006:IFRFFW%3E2.0.CO;2.
Varian, H. R. 2006. Intermediate microeconomics: A modern approach. 7th ed., 490–491. New York: W. W. Norton & Company.
Wang, F., H. Xu, T. Xu, K. Li, M. Shafie-Khah, and J. P. Catalão. 2017. “The values of market-based demand response on improving power system reliability under extreme circumstances.” Appl. Energy 193 (May): 220–231. https://doi.org/10.1016/j.apenergy.2017.01.103.
Wu, X., C. Cheng, J. R. Lund, W. Niu, and S. Miao. 2018. “Stochastic dynamic programming for hydropower reservoir operations with multiple local optima.” J. Hydrol. 564 (Sep): 712–722. https://doi.org/10.1016/j.jhydrol.2018.07.026.
Wu, X., C. Cheng, Y. Zeng, and J. R. Lund. 2016. “Centralized versus distributed cooperative operating rules for multiple cascaded hydropower reservoirs.” J. Water Resour. Plann. Manage. 142 (11): 05016008. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000685.
YNIITC, YNDRC, and EAYN (Yunnan Provincial Industry and Information Technology Commission, Yunnan Development and Reform Commission, and Energy Administration of Yunnan Province). 2017. Yunnan electricity market transaction implementation plan in 2017. [In Chinese.]Wuhan, China: Yunnan Provincial Industry and Information Technology Commission.
YNIITC (Yunnan Provincial Industry and Information Technology Commission). 2016. Yunnan electricity market transaction implementation plan in 2016. [In Chinese.] Wuhan, China: Yunnan Provincial Industry and Information Technology Commission.
Zeng, M., L. Peng, Q. Fan, and Y. Zhang. 2016a. “Trans-regional electricity transmission in China: Status, issues and strategies.” Renewable Sustainable Energy Rev. 66 (Dec): 572–583. https://doi.org/10.1016/j.rser.2016.08.023.
Zeng, M., Y. Yang, L. Wang, and J. Sun. 2016b. “The power industry reform in China 2015: Policies, evaluations and solutions.” Renewable Sustainable Energy Rev. 57 (May): 94–110. https://doi.org/10.1016/j.rser.2015.12.203.
Zeng, Y., X. Wu, C. Cheng, and Y. Wang. 2014. “Chance-constrained optimal hedging rules for cascaded hydropower reservoirs.” J. Water Resour. Plann. Manage. 140 (7): 04014010. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000427.
Zhang, X., P. Liu, C. Xu, S. Guo, Y. Gong, and H. Li. 2019. “Derivation of hydropower rules for multireservoir systems and its application for optimal reservoir storage allocation.” J. Water Resour. Plann. Manage. 145 (5): 04019010. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001056.
Zhao, J., X. Cai, and Z. Wang. 2011. “Optimality conditions for a two-stage reservoir operation problem.” Water Resour. Res. 47 (8): 532–560. https://doi.org/10.1029/2010WR009971.
Zhao, T., X. Cai, X. Lei, and H. Wang. 2012. “Improved dynamic programming for reservoir operation optimization with a concave objective function.” J. Water Resour. Plann. Manage. 138 (6): 590–596. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000205.
Zhao, T., J. Zhao, and D. Yang. 2014. “Improved dynamic programming for hydropower reservoir operation.” J. Water Resour. Plann. Manage. 140 (3): 365–374. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000343.
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Received: Dec 21, 2018
Accepted: Nov 4, 2019
Published online: Mar 30, 2020
Published in print: Jun 1, 2020
Discussion open until: Aug 30, 2020
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