考虑风光储场站参与灵活爬坡的两阶段市场联合出清

doi:10.16183/j.cnki.jsjtu.2023.570

上海交通大学学报 ›› 2025, Vol. 59 ›› Issue (10): 1451-1463.doi: 10.16183/j.cnki.jsjtu.2023.570

• 新型电力系统与综合能源 • 上一篇下一篇

考虑风光储场站参与灵活爬坡的两阶段市场联合出清

成明洋¹, 邢海军¹(), 米阳¹, 张沈习², 田书欣¹, 沈杰¹

¹ 上海电力大学电气工程学院电气工程学院上海 200090
² 上海交通大学电力传输与功率变换控制教育部重点实验室, 上海 200240

收稿日期:2023-11-10 修回日期:2024-03-02 接受日期:2024-03-22 出版日期:2025-10-28 发布日期:2025-10-24
通讯作者: 邢海军,讲师;E-mail:xinghj@shiep.edu.cn.
作者简介:成明洋(1999—),硕士生,从事电力市场灵活性资源优化运行研究.
基金资助:
电力传输与功率变换控制教育部重点实验室开放课题(2022AA03)

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 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

摘要/Abstract

摘要：

随着高比例可再生能源并网规模持续扩大,风光出力的波动性和不确定性给电力系统灵活性运行带来严峻的挑战.合理利用灵活性资源,提升系统灵活爬坡能力,将成为应对新能源并网挑战的重要途径.本文在考虑可再生能源不确定的前提下,分析了不同出清间隔下系统灵活爬坡需求的差异;基于随机规划方法,构建了两阶段电能量与灵活爬坡市场联合出清模型.该模型通过风光储场站等灵活性资源的协同调控,在缓解实时市场不确定性的同时,提供灵活爬坡产品,提高系统灵活调节能力;最后通过算例分析了不同出清方式与预测误差对出清结果的影响.结果表明,考虑风光储场站参与灵活爬坡的两阶段市场联合出清可有效提升系统实时运行灵活性与整体经济性.

关键词: 不确定性, 随机规划模型, 灵活爬坡产品, 风光储场站, 联合市场出清

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

中图分类号:

TM732

成明洋, 邢海军, 米阳, 张沈习, 田书欣, 沈杰. 考虑风光储场站参与灵活爬坡的两阶段市场联合出清[J]. 上海交通大学学报, 2025, 59(10): 1451-1463.

CHENG Mingyang, XING Haijun, MI Yang, ZHANG Shenxi, TIAN Shuxin, SHEN Jie. Two-Stage Market Joint Clearance Considering Participation of Wind/Photovoltaic/Energy Storage Power Station in Flexible Ramping[J]. Journal of Shanghai Jiao Tong University, 2025, 59(10): 1451-1463.

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方案	日前市场预购成本/万元	实时市场调整成本/万元	FRPs机会成本/万元	总成本/万元	切负荷/ (MW·h)	弃风光/ (MW·h)	消纳率%
Case1	403.21	62.25	无	465.46	12.26	174.4	90.2
Case2	408.10	41.91	1.72	450.01	4.52	47.5	97.3
Case3	408.11	36.27	2.13	444.38	0	19.7	98.9

场景	方案	FRPs成本/万元	总成本/万元	切负荷/(MW·h)	弃风光/(MW·h)	消纳率%
a	Case1		474.32	15.34	181.4	89.8
	Case2	1.85	453.41	4.87	48.52	96.9
	Case3	2.32	446.53	0.79	23.25	98.5
b	Case1		492.33	25.25	242.84	87.6
	Case2	2.43	457.85	6.25	48.25	96.3
	Case3	3.18	449.39	1.05	27.12	98.1

考虑风光储场站参与灵活爬坡的两阶段市场联合出清

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

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