Optimization model of monthly continuous bidding transaction in electricity market considering risk hedging

Genzhu Li, Xiaotong Zhang, Hanfu Wang, Qin Le, Jun Wang, Dunnan Liu

Article ID: 3294
Vol 8, Issue 5, 2024

VIEWS - 33 (Abstract) 14 (PDF)

Abstract


In order to further alleviate the problems of large assessment deviations, low efficiency of trading organisation and difficulties in system optimisation in medium- and long-term market trading, the article proposes an optimisation model for continuous intra-month bidding trading in the electricity market that takes into account risk hedging. Firstly, the current situation of market players’ participation in medium and long-term trading is analysed; secondly, the impact of contract trading on reducing operational risks is analysed based on the application of hedging theory in the primary and secondary markets; finally, the continuous bidding trading mechanism is designed and its optimisation effect is verified. The proposed model helps to improve the efficiency of contract trading in the secondary market, maintain the stability of market players’ returns and accelerate the formation of a unified, open, competitive and well-governed electricity market system.


Keywords


power markets; medium and long-term trading; risk hedging; rolling aggregation; centralised bidding

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References


Allaz, B., & Vila, J.-L. (1993). Cournot Competition, Forward Markets and Efficiency. Journal of Economic Theory, 59(1), 1–16. https://doi.org/10.1006/jeth.1993.1001

Aliabadi, D. E., Kaya, M., & Şahin, G. (2017). An agent-based simulation of power generation company behavior in electricity markets under different market-clearing mechanisms. Energy Policy, 100, 191–205. https://doi.org/10.1016/j.enpol.2016.09.063

Cheng, C., Chen, F., Li, G., et al. (2018). Reform and renewables in China: The architecture of Yunnan’s hydropower dominated electricity market. Renewable and Sustainable Energy Reviews, 94, 682–693. https://doi.org/10.1016/j.rser.2018.06.033

Chen, C. Y., Lin, Z. M., He, C. C., et al. (2020). Assessment mechanism of contract power deviation in medium- and long-term power trading. Journal of Electric Power Science and Technology, 35(01): 31-39. doi: 10.19781/j.issn.1673-9140.2020.01.004

Garcia, R. C., Contreras, J., Barbosa, M. de L., et al. (2020). Raiffa-Kalai-Smorodinsky Bargaining Solution for Bilateral Contracts in Electricity Markets. Energies, 13(9), 2397. https://doi.org/10.3390/en13092397

Hao, C. (2019). Research on the optimization model of different bidding aggregation mechanisms in the electricity market. North China Electric Power University (Beijing). doi: 10.27140/d.cnki.ghbbu.2019.000399

Hajimiri, M. H., Nili Ahmadabadi, M., & Rahimi-Kian, A. (2014). An intelligent negotiator agent design for bilateral contracts of electrical energy. Expert Systems with Applications, 41(9), 4073–4082. https://doi.org/10.1016/j.eswa.2013.12.034

Jiang, J., Kang, C., Xia, Q. (2007). Impacts of information releasing mechanisms on electricity market equilibrium (Chinese). Automation of Electric Power Systems, 31(6): 11-16.

Kirschen, D., & Strbac, G. (2004). Fundamentals of Power System Economics. https://doi.org/10.1002/0470020598

Liu, D., Tang, H., Yang, M., et al. (2017). A deviation settlement compensation mechanism for power trading to promote new energy consumption. Power System Automation, 41(24): 105-111.

Li, C., Zhong, X., Peng, L., et al. (2019). Design of medium- and long-term market intra-month trading model during the transition period of spot market. In: Proceedings of the 2019 Annual Academic Conference of the Electricity Market Professional Committee of the Chinese Society of Electrical Engineering and the National Alliance of Electricity Trading Institutions Forum. 2019: 213-218.

Ma, J., Tan, Z., Yu, X., et al. (2019). Optimization model for daily deviation power assessment of power sales companies counting and real-time power trading. Power Construction, 40(02): 11-19.

Pineda, S., & Conejo, A. J. (2012). Managing the financial risks of electricity producers using options. Energy Economics, 34(6), 2216–2227. https://doi.org/10.1016/j.eneco.2012.03.016

Shi, J., Liu, Z., Feng, D. (2021). A new model of medium- and long-term power trading based on standardized futures contracts. China Electricity, 54(06): 29-35 + 70.

Tang, Y., Ling, J., Wu, C., et al. (2017). Game-Theoretic Optimization of Bilateral Contract Transaction for Generation Companies and Large Consumers with Incomplete Information. Entropy, 19(6), 272. https://doi.org/10.3390/e19060272

Wang, L., Li, C., Liu, J., Peng, L. (2018). Design and practice of power market trading model based on compound bidding aggregation. Power System Automation, 42(24): 188-195.

Wang, L., Qin, Y., Liu, J., et al. (2018). Design and application of complex bid-aggregate power trading model based on securities trading model. In: Proceedings of the 2018 Annual Academic Conference of the Electricity Market Professional Committee of the Chinese Society of Electrical Engineering and the National Alliance of Electricity Trading Institutions Forum. pp. 337-343.

Wang, B. (2017). Research on the model of monthly centralized competitive bidding trading in Yunnan electricity market. Yunnan University of Finance and Economics.

Xu, F., Xie, X., Shi, L., et al. (2019). Analysis of power treatment methods for base deviation in the medium- and long-term market of electricity. Power System Automation, 43(12): 186-191.

Xu, Z., Chen, W., Ding, J. (2022). Optimization path of the mid- and long-term trading mechanism between provinces in the southern region under the two-level trading model. Power Automation Equipment: 1-7. doi: 10.16081/j.epae.202112024

Xia, Q., Sun, Z. (2005). A regional market aggregation trading model considering transaction costs. Power Grid Technology, (17): 1-4 + 20. doi: 10.13335/j.1000-3673.pst.2005.17.001

Xu, B., Zuo, L., Jin, J., et al. (2022). A study on “bilateral-centralized” electricity market trading mechanism based on evolutionary game. China Management Science: 1-14. doi: 10.16381/j.cnki.issn1003-207x.2021.2187

Xu, C., Zhang, P., Chen, D., Tang, C. (2019). Pre-tendering-based monthly deviation power balance mechanism and its multi-cycle generation dispatch optimization model. Chinese Journal of Electrical Engineering, 39(17): 5085-5094 + 5289. doi: 10.13334/j.0258-8013.pcsee.181092

Xu, Z., Ding, J., Liang, Z., Chen, W. (2020). Study on the implementation model of cross-provincial medium- and long-term continuous trading mechanism. Power Grid Technology, 44(06): 2071-2077. doi: 10.13335/j.1000-3673.pst.2019.0921

Yu, X., Li, G., Cheng, C., et al. (2019). Research and Application of Continuous Bidirectional Trading Mechanism in Yunnan Electricity Market. Energies, 12(24), 4663. https://doi.org/10.3390/en12244663

Zhao, J., Hu, J., Li, D., Yuan, T. (2021). A study on the flexibility of medium and long-term electricity market contract transfer mechanism with the participation of energy storage. Thermoelectricity, 50(08): 18-23. doi: 10.19666/j.rlfd.202104069

Zhang, L., Sun, Y., Zhang, Y. (2012). Research on inter-provincial contract transfer and replacement trading mechanism in the Southern Power Market. Power Grid Technology, 36(12): 262-268. doi: 10.13335/j.1000-3673.pst.2012.12.012

Zhang, X., Wang, X., Chen, H., et al. (2003). Bilateral contracts in electricity market [J]. Electric Power Automation equipment, 23(11): 77-86.




DOI: https://doi.org/10.24294/jipd.v8i5.3294

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