Optimal power sales model for new energy stations considering conditional value-at-risk in two-level electricity market

被引:0
|
作者
Wang T. [1 ]
Wang Y. [1 ]
Yin L. [1 ]
Liu C. [1 ]
Cai G. [1 ]
机构
[1] School of Electrical Engineering, Northeast Electric Power University, Jilin
来源
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2023年 / 43卷 / 05期
关键词
auxiliary service market; conditional value-at-risk; electricity spot market; new energy; power sales model;
D O I
10.16081/j.epae.202303032
中图分类号
学科分类号
摘要
In order to promote the optimal allocation function of energy resources,China has gradually formed the two-level electricity market of“unified market,two-level operation”. In the early stage of the construction of two-level electricity market,it is an urgent issue to be studied that the plan for new energy stations participate inter-provincial electricity spot trading lacks guidance. First of all,an in-depth study of the current mechanism of inter-provincial and intra-provincial electricity market is conducted and its operating framework is discussed. Then considering the multi-spatial and multi-time coupling characteristics of inter-provincial power spot trading and auxiliary service market,a two-layer optimal model for power sales decision-making of new energy stations in two-level electricity market is constructed,and the lower-layer model is transformed based on the conditional value-at-risk,which realizes the uncertainty control of the new energy stations’output. Finally,relying on the actual data of a project in some province of Northeast China,an example analysis is carried out. The results show that the model can improve the market revenues of new energy stations under the two-level electricity market environment. © 2023 Electric Power Automation Equipment Press. All rights reserved.
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页码:113 / 120
页数:7
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  • [1] XIN Baoan, SHAN Baoguo, LI Qionghui, Et al., Rethinking of the“three elements of energy”toward carbon peak and car⁃ bon neutrality[J], Proceedings of the CSEE, 42, 9, pp. 3117-3126, (2022)
  • [2] ZHANG Xian, SHI Lianjun, Future research areas and key technologies of electricity market in China[J], Automation of Electric Power Systems, 44, 16, pp. 1-11, (2020)
  • [3] CHENG Jifeng, YAN Zheng, LI Mingjie, Et al., Optimization method of interprovincial trading plan for surplus renewable energy power based on CVaR and output prediction[J], High Voltage Engineering, 48, 2, pp. 467-479, (2022)
  • [4] ZHOU Xin, MA Xiaowei, NIU Shuanbao, Et al., Exploration of cross-provincial real-time balancing electricity market in Northwest China[J], Automation of Electric Power Systems, 45, 15, pp. 166-171, (2021)
  • [5] FAN Yuqi, DING Tao, TANG Honghai, Et al., Cross-provincial and cross-regional incremental spot trading model for renewable energy considering path conversion[J], Automation of Electric Power Systems, 45, 18, pp. 103-112, (2021)
  • [6] HU Chenxu, GUAN Li, LUO Zhiqiang, Et al., Optimal clearing model for trans-regional and cross-provincial spot trading of surplus renewable energy[J], Automation of Electric Power Systems, 45, 13, pp. 110-116, (2021)
  • [7] XU Zhe, CHEN Wei, DING Junce, Optimization path of interprovincial medium-and long-term transaction mechanism in Southern China under two-level transaction mode[J], Electric Power Automation Equipment, 42, 3, pp. 175-181, (2022)
  • [8] ZENG Dan, XIE Kai, PANG Bo, Et al., Key issues of national unified electricity market with Chinese characteristics(3):transaction clearing models and algorithms adapting to the coordinated operation of provincial electricity markets[J], Power System Technology, 44, 8, pp. 2809-2819, (2020)
  • [9] LUO Huanhuan, WANG Hao, GE Weichun, Et al., Design of dynamic peak regulation ancillary service market bidding mechanism considering quotation supervision[J], Transactions of China Electrotechnical Society, 36, 9, pp. 1935-1947
  • [10] SUN Dayan, GUAN Li, HUANG Guodong, Et al., Practice and reflection on trans-regional and cross-provincial electricity spot trading for surplus renewable energy[J], Automation of Electric Power Systems, 46, 5, pp. 1-11, (2022)