范高锋, 李佳宁, 丁晨, 于若英, 边竞. 风储联合参与能量–调频辅助服务市场竞价策略及效益分析[J]. 现代电力. DOI: 10.19725/j.cnki.1007-2322.2023.0179
引用本文: 范高锋, 李佳宁, 丁晨, 于若英, 边竞. 风储联合参与能量–调频辅助服务市场竞价策略及效益分析[J]. 现代电力. DOI: 10.19725/j.cnki.1007-2322.2023.0179
FAN Gaofeng, LI Jianing, DING Chen, YU Ruoying, BIAN Jing. Bidding Strategy and Profit Analysis of Wind-storage System Participating in Energy and Frequency Modulation Ancillary Service Market[J]. Modern Electric Power. DOI: 10.19725/j.cnki.1007-2322.2023.0179
Citation: FAN Gaofeng, LI Jianing, DING Chen, YU Ruoying, BIAN Jing. Bidding Strategy and Profit Analysis of Wind-storage System Participating in Energy and Frequency Modulation Ancillary Service Market[J]. Modern Electric Power. DOI: 10.19725/j.cnki.1007-2322.2023.0179

风储联合参与能量–调频辅助服务市场竞价策略及效益分析

Bidding Strategy and Profit Analysis of Wind-storage System Participating in Energy and Frequency Modulation Ancillary Service Market

  • 摘要: 储能作为优质的调频资源,可有效解决风电出力不确定性导致系统中出现的功率偏差,在电力市场环境下,风储系统可以通过联合竞价在能量市场和调频辅助服务市场中获得收益。针对不确定场景下风电场和储能电站联合参与市场的竞价策略展开研究。首先,介绍了风储系统联合参与能量和调频辅助服务市场的运营机制,提出了风储系统的联合竞价框架并进行了收益分析;其次,采用蒙特卡洛法和场景削减对不确定性场景进行处理,在此基础上构建了以风储系统收益最大为目标的联合竞价模型;最后,通过某配置储能的风电场实际运行数据进行算例分析,验证了所提出的联合竞价模型可提高风电场和储能电站的经济效益。

     

    Abstract: The utilization of energy storage as a high-quality frequency modulation resource can effectively address the power deviation in the system caused by the uncertainty of wind power output. Under the electricity market framework, the wind-storage system can yield profits in the energy market and frequency modulation auxiliary service market through joint bidding. The bidding strategy of the wind farms and energy storage power stations jointly participating in the market is investigated under uncertain scenarios in this paper. Firstly, the operation mechanism of wind-storage system participating in the energy and frequency modulation auxiliary service market is introduced, followed by proposing a coordinated bidding framework and analyzing the income. The Monte-Carlo method and scenario reduction techniques are employed to tackle the uncertain scenarios. On this basis, a joint bidding model is developed with the objective of maximizing the wind-storage system profit. Finally, case studies are conducted using operation data from a wind farm with energy storage, thereby validating the ability of our method in improving the economic benefits of both wind farms and energy storage stations.

     

/

返回文章
返回