Journal of Shanghai Jiao Tong University ›› 2025, Vol. 59 ›› Issue (10): 1451-1463.doi: 10.16183/j.cnki.jsjtu.2023.570

• New Type Power System and the Integrated Energy • Previous Articles     Next Articles

Two-Stage Market Joint Clearance Considering Participation of Wind/Photovoltaic/Energy Storage Power Station in Flexible Ramping

CHENG Mingyang1, XING Haijun1(), MI Yang1, ZHANG Shenxi2, TIAN Shuxin1, SHEN Jie1   

  1. 1 School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
    2 Key Laboratory of Control of Power Transmission and Conversion of the Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2023-11-10 Revised:2024-03-02 Accepted:2024-03-22 Online:2025-10-28 Published:2025-10-24

Abstract:

With the integration of a high proportion of renewable energy into the grid, the volatility and uncertainty of wind and solar output will pose more severe challenges to the flexible operation of the system. Reasonable utilization of flexible resources and improvement of the flexible ramping ability of power systems will become an important approach to addressing the challenges of new energy. This article analyzes the differences in system flexibility ramping requirements under different clearing intervals, taking into account the uncertainty of renewable energy. It establishes a two-stage electricity energy and flexible ramping market joint clearing model based on a stochastic programming model. By utilizing flexible resource rich regulation methods such as wind/photovoltaic/energy storage power station, while alleviating real-time market uncertainty, it provides flexible ramping products to improve the flexible adjustment ability of the system. Finally, it conducts a case study to analyze the impact of the clearing model under different clearing methods and prediction errors. The results indicate that a two-stage market joint clearance considering the participation of wind/photovoltaic/energy storage power station in flexible ramping can improve the real-time operational flexibility and overall economic efficiency of the system.

Key words: uncertainty, stochastic programming models, flexible ramping products, wind/photovoltaic/energy storage power station, joint market clearing

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