Research on Basic Characteristics and Bidding Strategy of Thermal Power Units in Fujian Spot Market

Yuhui Song; Zhanhua Pan; Baike Chen; Zhaoxia Jing

doi:10.1051/e3sconf/202125202005

All issues

Volume 252 (2021)

E3S Web Conf., 252 (2021) 02005

References

Open Access

Issue		E3S Web Conf. Volume 252, 2021 2021 International Conference on Power Grid System and Green Energy (PGSGE 2021)


Article Number		02005
Number of page(s)		8
Section		Research and Development of Electrical Equipment and Energy Nuclear Power Devices
DOI		https://doi.org/10.1051/e3sconf/202125202005
Published online		23 April 2021

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Gallestey E, Stothert A, Antoine M, et al. Model predictive control and the optimization of power plant load while considering lifetime consumption[J]. IEEE Transactions on Power Systems, 2002, 17(1): 186–191. [Google Scholar]
Jianping Z, Hao Z. Preliminary study on bidding strategy for electricity market[J]. Electric Power, 2001(03):9–11 [Google Scholar]
Li Y, Jiaju Q, Daozhuo J. BPN based day-ahead unconstrained market clearing price forecasting model[J]. Automation of Electric Power Systems, 2001, 25(19): 11–14. [Google Scholar]
Li C, Guo Z. Short-term system marginal price forecasting with hybrid module[C]//Proceedings. International Conference on Power System Technology. IEEE, 2002, 4: 2426–2430. [Google Scholar]
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Garcia R C, Contreras J, Van Akkeren M, et al. A GARCH forecasting model to predict day-ahead electricity prices[J]. IEEE transactions on power systems, 2005, 20(2): 867–874. [Google Scholar]
Diao Q, Lin J, Ni Y, et al. Game theory and its applications in power markets[J]. Automation of Electric Power Systems, 2001, 25(1): 19–23. [Google Scholar]
Shang J C, Huang Y H, Zhang W C, et al. A model and algorithm of game theory based bidding strategy for an independent power provider[J]. Automat Electric Power Syst, 2002, 26(9): 12–5. [Google Scholar]
Niu H, Baldick R, Zhu G. Supply function equilibrium bidding strategies with fixed forward contracts[J]. IEEE Transactions on power systems, 2005, 20(4): 1859–1867. [Google Scholar]

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[1] General Office of NDRC, Comprehensive Department of NEA. Opinions on deepening the construction pilot work of power spot market [EB/OL]. [2020–02–20]. https://www.ndrc.gov.cn/xxgk/zcfb/ghxwj/201908/t20190807_960970.html. [Google Scholar]

[2] Liu J, Zeng D, Tian L, et al. Control strategy for operating flexibility of coal-fired power plants in alternate electrical power systems[J]. Proceedings of the CSEE, 2015, 35(21): 5385–5394. [Google Scholar]

[3] Fujian Provincial Development and Reform Commission. Reform and implementation plan for deepening formation mechanism of tariff for coal-fired power generation in Fujian province [EB/OL]. http://fgw.fujian.gov.cn/zfxxgkzl/zfxxgkml/yzdgkdqtxx/202001/t20200108_5176301.htm. [Google Scholar]

[4] David A K, Wen F. Strategic bidding in competitive electricity markets: a literature survey[C]//2000 Power Engineering Society Summer Meeting (Cat. No. 00CH37134). IEEE, 2000, 4: 2168–2173. [Google Scholar]

[5] Bing L, Xiuli W, Ying G, et al. Analysis on bidding strategy of independent power producer in days-ahead market [J][J]. Automation of Electric Power Systems, 2002, 26(24): 8–14. [Google Scholar]

[6] Fansheng L, Lijie X, Wei W. Analysis of dynamic cost in power plant operation for bidding[J]. POWER SYSTEM TECHNOLOGY-BEIJING-, 2001, 25(7): 44–47. [Google Scholar]

[7] Gallestey E, Stothert A, Antoine M, et al. Model predictive control and the optimization of power plant load while considering lifetime consumption[J]. IEEE Transactions on Power Systems, 2002, 17(1): 186–191. [Google Scholar]

[8] Jianping Z, Hao Z. Preliminary study on bidding strategy for electricity market[J]. Electric Power, 2001(03):9–11 [Google Scholar]

[9] Li Y, Jiaju Q, Daozhuo J. BPN based day-ahead unconstrained market clearing price forecasting model[J]. Automation of Electric Power Systems, 2001, 25(19): 11–14. [Google Scholar]

[10] Li C, Guo Z. Short-term system marginal price forecasting with hybrid module[C]//Proceedings. International Conference on Power System Technology. IEEE, 2002, 4: 2426–2430. [Google Scholar]

[11] Wang A, Ramsay B. Prediction of system marginal price in the UK Power Pool using neural networks[C]//Proceedings of International Conference on Neural Networks (ICNN'97). IEEE, 1997, 4: 2116–2120. [Google Scholar]

[12] Nogales F J, Contreras J, Conejo A J, et al. Forecasting next-day electricity prices by time series models[J]. IEEE Transactions on power systems, 2002, 17(2): 342–348. [Google Scholar]

[13] Garcia R C, Contreras J, Van Akkeren M, et al. A GARCH forecasting model to predict day-ahead electricity prices[J]. IEEE transactions on power systems, 2005, 20(2): 867–874. [Google Scholar]

[14] Diao Q, Lin J, Ni Y, et al. Game theory and its applications in power markets[J]. Automation of Electric Power Systems, 2001, 25(1): 19–23. [Google Scholar]

[15] Shang J C, Huang Y H, Zhang W C, et al. A model and algorithm of game theory based bidding strategy for an independent power provider[J]. Automat Electric Power Syst, 2002, 26(9): 12–5. [Google Scholar]

[16] Niu H, Baldick R, Zhu G. Supply function equilibrium bidding strategies with fixed forward contracts[J]. IEEE Transactions on power systems, 2005, 20(4): 1859–1867. [Google Scholar]