上海交通大学学报

上海交通大学学报 >

2025 , Vol. 59 >Issue 10: 1451 - 1463

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2023.570

新型电力系统与综合能源

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 ,
  • 邢海军 ,
  • 米阳 ,
  • 张沈习 ,
  • 田书欣 ,
  • 沈杰
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  • 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
成明洋(1999—),硕士生,从事电力市场灵活性资源优化运行研究.
邢海军,讲师;E-mail:xinghj@shiep.edu.cn.

收稿日期: 2023-11-10

  修回日期: 2024-03-02

  录用日期: 2024-03-22

  网络出版日期: 2024-04-03

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)

收起

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

  • CHENG Mingyang ,
  • XING Haijun ,
  • MI Yang ,
  • ZHANG Shenxi ,
  • TIAN Shuxin ,
  • SHEN Jie
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  • 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 date: 2023-11-10

  Revised date: 2024-03-02

  Accepted date: 2024-03-22

  Online published: 2024-04-03

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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

本文引用格式

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 . DOI: 10.16183/j.cnki.jsjtu.2023.570

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

参考文献

[1] 黄远明, 张玉欣, 夏赞阳, 等. 考虑需求响应资源和储能容量价值的新型电力系统电源规划方法[J]. 上海交通大学学报, 2023, 57(4): 432-441.
  HUANG Yuanming, ZHANG Yuxin, XIA Zanyang, et al. Power system planning considering demand response resources and capacity value of energy storage[J]. Journal of Shanghai Jiao Tong University, 2023, 57 (4): 432-441.
[2] 亢丽君, 王蓓蓓, 薛必克, 等. 计及爬坡场景覆盖的高比例新能源电网平衡策略研究[J]. 电工技术学报, 2022, 37(13): 3275-3288.
  KANG Lijun, WANG Beibei, XUE Bike, et al. Research on the balance strategy for power grid with high proportion renewable energy considering the ramping scenario coverage[J]. Transactions of China Electrotechnical Society, 2022, 37 (13): 3275-3288.
[3] 李江, 马吴天, 宋田宇. 风储联合系统爬坡事件的日前能量最优平抑方法[J]. 中国电机工程学报, 2021, 41(12): 4153-4164.
  LI Jiang, MA Wutian, SONG Tianyu. An event-based day-ahead energy optimization method to smooth ramp events of combined wind storage systems[J]. Proceedings of the CSEE, 2021, 41(12): 4153-4164.
[4] 夏芹芹, 罗永捷, 王荣茂, 等. 考虑新能源爬坡的风光火耦合系统源荷匹配性分析及容量优化配置[J]. 上海交通大学学报, 2024, 58 (1): 69-81.
  XIA Qinqin, LUO Yongjie, WANG Rongmao, et al. Source-load matching analysis and optimal planning of wind-solar-thermal coupled system considering renewable energy ramps[J]. Journal of Shanghai Jiao Tong University, 2024, 58 (1): 69-81.
[5] 李军徽, 安晨宇, 李翠萍, 等. 计及调峰市场交易的储能-新能源-火电多目标优化调度[J]. 电工技术学报, 2023, 38(23): 6391-6406.
  LI Junhui, AN Chenyu, LI Cuiping, et al. Multi-objective optimization scheduling method considering peak regulating market transactions for energy storage-new energy-thermal power[J]. Transactions of China Electrotechnical Society, 2023, 38(23): 6391-6406.
[6] 郭怿, 明波, 黄强, 等. 考虑输电功率平稳性的水-风-光-储多能互补日前鲁棒优化调度[J]. 电工技术学报, 2023, 38(9): 2350-2363.
  GUO Yi, MING Bo, HUANG Qiang, et al. Robust optimal scheduling of water wind light storage multi energy complementary day ahead considering the stability of transmission power[J]. Transactions of China Electrotechnical Society, 2023, 38 (9): 2350-2363.
[7] 王凯, 延肖何, 蒋凯, 等. 考虑碳交易的风光储场站参与电力现货市场报价策略与调控方法[J]. 中国电机工程学报, 2023, 43(18): 7091-7103.
  WANG Kai, YAN Xiaohe, JIANG Kai, et al. The bidding strategy and regulation method for the unified wind/photovoltaic/energy storage power stations in electricity spot market considering carbon trading[J]. Proceedings of the CSEE, 2023, 43(18): 7091-7103.
[8] ARABI-NOWDEH S, NASRI S, SAFTJANI P B, et al. Multi-criteria optimal design of hybrid clean energy system with battery storage considering off-and on-grid application[J]. Journal of Cleaner Production, 2021, 290: 125808.
[9] YAMUJALA S, JAIN A, SREEKUMAR S, et al. Enhancing power systems operational flexibility with ramp products from flexible resources[J]. Electric Power Systems Research, 2022, 202: 107599.
[10] SHOFERPOUR A, KARIMI A. Improving the flexibility of power systems using transportable battery, transmission switching, demand response, and flexible ramping product market in the presence of high wind power[J]. IET Renewable Power Generation, 2023, 17(6): 1413-1435.
[11] 吴珊, 边晓燕, 张菁娴, 等. 面向新型电力系统灵活性提升的国内外辅助服务市场研究综述[J]. 电工技术学报, 2023, 38(6): 1662-1677.
  WU Shan, BIAN Xiaoyan, ZHANG Jingxian, et al. A review of domestic and foreign ancillary services market for improving flexibility of new power system[J]. Transactions of China Electrotechnical Society, 2023, 38 (6): 1662-1677.
[12] SABERI L, ALIZADEH M I, MOGHADDAM M P. Optimal scheduling of flexible ramp product and emerging flexible resources considering short-term variability impacts in power system with high RESs penetration: A novel robust UC approach[J]. International Journal of Electrical Power & Energy Systems, 2022, 142: 108279.
[13] CHEN K, CHEN W, LIN C, et al. Integrated energy system day-ahead dispatch considering supply-side and demand-side flexibility[C]// 2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2). Taiyuan, China: IEEE, 2021: 1662-1667.
[14] KHOSHJAHAN M, FOTUHI-FIRUZABAD M, MOEINI-AGHTAIE M, et al. Enhancing electricity market flexibility by deploying ancillary services for flexible ramping product procurement[J]. Electric Power Systems Research, 2021, 191: 106878.
[15] HU J, SARKER M R, WANG J, et al. Provision of flexible ramping product by battery energy storage in day-ahead energy and reserve markets[J]. IET Generation, Transmission & Distribution, 2018, 12(10): 2256-2264.
[16] ZHANG X, HU J, WANG H, et al. Electric vehicle participated electricity market model considering flexible ramping product provisions[J]. IEEE Transactions on Industry Applications, 2020, 56(5): 5868-5879.
[17] TAN W S, SHAABAN M. Dual-timescale generation scheduling with nondeterministic flexiramp including demand response and energy storage[J]. Electric Power Systems Research, 2020, 189: 106821.
[18] 彭超逸, 陈文哲, 徐苏越, 等. 支持虚拟电厂提供灵活爬坡服务的云边协同市场模型[J]. 上海交通大学学报, 2025, 59(2): 186-199.
  PENG Chaoyi, CHEN Wenzhe, XU Suyue, et al. Modeling of cloud-edge collaborated electricity market considering flexible ramping products provided by VPPs[J]. Journal of Shanghai Jiao Tong University, 2025, 59(2): 186-199.
[19] HUANG C, MA H, YAN Z, et al. Portfolio management for a wind-storage system based on distributionally robust optimisation considering a flexible ramping product[J]. IET Renewable Power Generation, 2020, 14(16): 3192-3199.
[20] 张景淳, 陈胜, 彭琰, 等. 计及灵活爬坡的气, 电耦合综合能源系统低碳经济调度研究[J]. 电网技术, 2022, 46(9): 3315-3325.
  ZHANG Jingchun, CHEN Sheng, PENG Yan, et al. Low carbon economic scheduling of gas-electric coupling integrated energy system considering flexible ramping products[J]. Power System Technology, 2022, 46(9): 3315-3325.
[21] KRAD I, GAO D W, WU H Y. An assessment of flexibility reserves in stochastic modeling at multiple timescales[J]. CSEE Journal of Power and Energy Systems, 2017, 3(1): 84-92.
[22] MIRZAEI M A, NAZARI-HERIS M, MOHAMMADI-IVATLOO B, et al. Network-constrained joint energy and flexible ramping reserve market clearing of power-and heat-based energy systems: A two-stage hybrid IGDT-stochastic framework[J]. IEEE Systems Journal, 2020, 15(2): 1547-1556.
[23] PARK H, HUANG B, BALDICK R. Enhanced flexible ramping product formulation for alleviating capacity shortage in look-ahead commitment[J]. Journal of Modern Power Systems and Clean Energy, 2022, 10(4): 850-860.
[24] GHALJEHEI M, KHORSAND M. Day-ahead operational scheduling with enhanced flexible ramping product: Design and analysis[J]. IEEE Transactions on Power Systems, 2021, 37(3): 1842-1856.
[25] 钟佳宇, 陈皓勇, 陈武涛, 等. 含灵活性资源交易的电力市场实时出清[J]. 电网技术, 2021, 45(3): 1032-1041.
  ZHONG Jiayu, CHEN Haoyong, CHEN Wutao, et al. Real-time clearing of electricity markets with flexible resource transactions[J]. Power System Technology, 2021, 45(3): 1032-1041.
[26] JIANG T, WU C, ZHANG R, et al. Flexibility clearing in joint energy and flexibility markets considering TSO-DSO coordination[J]. IEEE Transactions on Smart Grid, 2022, 14(2): 1376-1387.
[27] 马洪艳, 贠靖洋, 严正. 基于分布鲁棒优化的灵活爬坡备用调度方法[J]. 中国电机工程学报, 2020, 40(19): 6121-6132.
  MA Hongyan, YUN Jingyang, YAN Zheng. Distributionally robust optimization based dispatch methodology of flexible ramping products[J]. Proceedings of the CSEE, 2020, 40(19): 6121-6132.
[28] 江婷, 邓晖, 陆承宇, 等. 电能量和旋转备用市场下电-热综合能源系统低碳优化运行[J]. 上海交通大学学报, 2021, 55 (12): 1650-1662.
  JIANG Ting, DENG Hui, LU Chengyu, et al. Low-carbon optimal operation of an integrated electricity-heat energy system in electric energy and spinning reserve market[J]. Journal of Shanghai Jiao Tong University, 2021, 55 (12): 1650-1662.
[29] 王蓓蓓, 仇知, 丛小涵, 等. 基于两阶段随机优化建模的新能源电网灵活性资源边际成本构成的机理分析[J]. 中国电机工程学报, 2021, 41(4): 1348-1359.
  WANG Beibei, QIU Zhi, CONG Xiaohan, et al. Mechanism analysis of flexible resources’ marginal price in new energy grid based on two-stage stochastic optimization modeling[J]. Proceedings of the CSEE, 2021, 41 (4): 1348-1359.
[30] 赵越, 蔡秋娜, 王龙, 等. 考虑不同需求弹性的爬坡辅助服务市场出清模型[J]. 电力系统自动化, 2024, 48(5): 48-57.
  ZHAO Yue, CAI Qiuna, WANG Long, et al. Clearing model for ramping auxiliary service market considering different demand elasticity[J]. Automation of Electric Power Systems, 2024, 48(5): 48-57.
[31] 肖云鹏, 张兰, 张轩, 等. 包含独立储能的现货电能量与调频辅助服务市场出清协调机制[J]. 中国电机工程学报, 2020, 40(Sup.1): 167-180.
  XIAO Yunpeng, ZHANG Lan, ZHANG Xuan, et al. The coordinated market clearing mechanism for spot electric energy and regulating ancillary service incorporating independent energy storage resources[J]. Proceedings of the CSEE, 2020, 40(Sup.1): 167-180.
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