Abstract:The global integration of high-penetration renewable energy sources (RESs) introduces significant short-term net load ramping variations, challenging power system stability. To address this, flexible ramping products (FRPs) have been successfully implemented in several electricity markets, such as CAISO and MISO. However, these market designs predominantly rely on abundant flexible resources like gas turbines or energy storage, rendering them incompatible with power systems where coal-fired units constitute the primary regulating resource—a common scenario in many Chinese provinces. This configuration, termed a “renewable-coal power system,” faces a critical incompatibility: the day-ahead procurement of spinning reserve products (SRPs) often locks the spare capacity of the limited fast-ramping coal-fired units. This pre-commitment leads to a suboptimal allocation of flexibility, leaving insufficient capacity available for the intraday FRP, resulting in frequent market imbalances and high procurement costs. This paper conducts a comprehensive analysis of the ramping challenges inherent to renewable-coal systems, identifying a fundamental misallocation of coal-fired units between SRPs and FRPs as the core issue. The temporal structure of market operations—where SRPs are cleared day-ahead due to the long startup times of coal units and contingency requirements, while FRPs are more effectively cleared intraday to leverage more accurate renewable forecasts—creates a disconnect. Consequently, fast-ramping coal units, which are also competitive in the day-ahead energy market, are incentivized to secure SRP contracts, leaving their superior ramping capability unavailable for the uncertain intraday FRP. Meanwhile, slower-ramping coal units, often less competitive day-ahead, possess available capacity but cannot adequately meet real-time ramping demands. To resolve this misallocation, this paper proposes a novel intraday coupling mechanism between the FRP and the SRP. The core of the mechanism involves strategically substituting slow-ramping coal units for the fast-ramping units that were awarded SRP contracts in the day-ahead market during intraday operations. This substitution unlocks the constrained fast-ramping capacity, making it available to supply the FRP in the real-time market. The resulting deficit in spinning reserves is then compensated by procuring additional SRP from the now-freed slow-ramping units. This approach effectively reallocates the limited flexible capacity of coal-fired units between the two ancillary services. The proposed methodology is formulated within a SCED model for the intraday market, which jointly clears the real-time energy, FRP, and the proposed coupling mechanism. Theoretical derivations demonstrate that the coupling mechanism enhances the system’s maximum available ramping capability and increases total social welfare compared to a decoupled market design. The mechanism’s effectiveness is rigorously validated through year-long simulations based on real-world 2024 data from a province in Northwest China—a typical renewable-coal system with over 60% installed capacity from wind and solar. Case studies compare scenarios with and without the coupling mechanism across four typical operational scenarios characterized by varying wind and solar output levels. Results indicate that the mechanism robustly supplies significant additional ramping capacity, reducing system reliance on expensive resources like energy storage. This leads to a substantial reduction in total procurement costs by lowering FRP expenditure by 31.97%, despite a marginal 2.91% increase in SRP costs. Furthermore, the mechanism mitigates FRP clearing prices by displacing expensive marginal resources and achieves incentive compatibility by allowing units to profit based on their true ramping capabilities without complex strategic bidding. In conclusion, the proposed coupling mechanism offers a practical and economically viable solution for implementing FRPs in coal-dominated power systems. It optimizes the utilization of existing conventional resources, enhances system flexibility, reduces overall costs, and provides a valuable framework for future ancillary service market design in regions undergoing a transition to high renewable penetration.
陈皓轩, 黄弦超, 张粒子, 王进. 面向新型电力系统的灵活爬坡产品与旋转备用产品耦合机制设计[J]. 电工技术学报, 2026, 41(19): 6630-6644.
Chen Haoxuan, Huang Xianchao, Zhang Lizi, Wang Jin. Coupling Mechanism Design for Flexible Ramping and Spinning Reserve Products in the New Power System. Transactions of China Electrotechnical Society, 2026, 41(19): 6630-6644.
[1] 国家电网发展部. 发展消纳概览[EB/OL]. (2025-09-26)[2025-09-27]. https://sgnec.sgcc.com.cn/renewableEnergy/developmentSituation. [2] 韩丽, 王冲, 于晓娇, 等. 考虑风电爬坡灵活调节的碳捕集电厂低碳经济调度[J]. 电工技术学报, 2024, 39(7): 2033-2045. Han Li, Wang Chong, Yu Xiaojiao, et al.Low-carbon and economic dispatch considering the carbon capture power plants with flexible adjustment of wind power ramp[J]. Transactions of China Electrotechnical Society, 2024, 39(7): 2033-2045. [3] California ISO. Flexible ramping product refinements deliverability[EB/OL]. (2024-03-25)[2025-09-27]. http://www.prod.caiso.com/Documents/Presentation-Flexible-Ramping-Product-Refinements-Deliverability-Training.pdf. [4] Midcontinent Independent System Operator. Ramp capability product development IR048[EB/OL]. (2024-03-25)[2025-09-27]. https://www.misoenergy.org/engage/MISO-Dashboard/ramp-capability-product-development. [5] NYISO. Market assessment design concepts-flexible ramping product[R]. New York: NYISO, 2018. [6] SPP. Ramp capability products[R]. Little Rock: Southwest Power Pool, 2019. [7] 林水静. 煤电“先立后改”破解电力供应难题[N]. 中国能源报, 2023-03-12(11). [8] Gao Xiang, Zhang Jiahao, Chang Jiang, et al.Employing battery energy storage systems for flexible ramping products in a fully renewable energy power grid: a market mechanism and strategy analysis through multi-Agent Markov games[J]. Energy Reports, 2024, 12: 5066-5082. [9] 吕婉煜, 赵红生, 韩应生, 等. 供需不确定性下抽水蓄能提升系统灵活性的分层优化调度[J]. 电工技术学报, 2025, 40(21): 6984-6999. Lü Wanyu, Zhao Hongsheng, Han Yingsheng, et al.Hierarchical optimal scheduling for pumped storage to enhance system flexibility under supply-demand uncertainty[J]. Transactions of China Electrotechnical Society, 2025, 40(21): 6984-6999. [10] 王玉照, 葛鹏江, 刘继春, 等. 计入储能的电能量与爬坡市场联合出清方法研究[J]. 电网技术, 2025, 49(3): 1045-1055. Wang Yuzhao, Ge Pengjiang, Liu Jichun, et al.Research on method of joint clearing of electricity market and ramping market incorporating energy storage resources[J]. Power System Technology, 2025, 49(3): 1045-1055. [11] 王杰, 苗世洪, 王廷涛, 等. 基于近端策略优化算法的电力系统多类型储能爬坡功率分配策略[J]. 高电压技术, 2025, 51(9): 4796-4806. Wang Jie, Miao Shihong, Wang Tingtao, et al.Ramping power allocation strategy for multi-type energy storage in power system based on proximal policy optimization[J]. High Voltage Engineering, 2025, 51(9): 4796-4806. [12] Zhang Bei, Kezunovic M.Impact on power system flexibility by electric vehicle participation in ramp market[J]. IEEE Transactions on Smart Grid, 2016, 7(3): 1285-1294. [13] Chang Yifan, Xie Jun, Qiu Chenguang, et al.A disposal strategy for tight power balance considering electric vehicle charging station providing flexible ramping capacity[J]. IEEE Access, 2022, 10: 119805-119813. [14] Chen Wenzhe, Sun Haishun, Peng Chaoyi, et al.Distributed optimization for EVs integrated power system considering flexible ramping requirement[J]. International Journal of Electrical Power & Energy Systems, 2024, 160: 110104. [15] Zhang Xian, Hu Jiefeng, Wang Huaizhi, et al.Electric vehicle participated electricity market model considering flexible ramping product provisions[J]. IEEE Transactions on Industry Applications, 2020, 56(5): 5868-5879. [16] 韩丽, 陈硕, 王施琪, 等. 考虑风光消纳与电动汽车灵活性的调度策略[J]. 电工技术学报, 2024, 39(21): 6793-6803. Han Li, Chen Shuo, Wang Shiqi, et al.Scheduling strategy considering wind and photovoltaic power consumption and the flexibility of electric vehicles[J]. Transactions of China Electrotechnical Society, 2024, 39(21): 6793-6803. [17] Habibifar R, Awad A S A, Azzouz M A. Optimal scheduling and routing for integrated power-hydrogen systems in day-ahead energy and flexible ramp product markets[J]. International Journal of Hydrogen Energy, 2025, 98: 1415-1429. [18] Bahramara S, Sheikhahmadi P, Mazza A, et al.Provision of the flexible ramping product in a microgrid considering the trading strategies in the energy markets[J]. Sustainable Energy, Grids and Networks, 2022, 32: 100953. [19] Bahramara S, Sheikhahmadi P, Mazza A, et al.Day-ahead self-scheduling from risk-averse microgrid operators to provide reserves and flexible ramping ancillary services[J]. International Journal of Electrical Power & Energy Systems, 2022, 142: 108381. [20] Kong Weile, Ye Hongxing, Ge Yinyin, et al.Privacy-preserving multi-VPPs scheduling for peak ramp minimization[J]. Electric Power Systems Research, 2025, 241: 111375. [21] 邬凯浪, 李寅晓, 李立, 等. 楼宇型虚拟电厂参与能量和灵活爬坡市场优化运行策略[J]. 上海交通大学学报, 2026, 60(4): 604-616. Wu Kailang, Li Yinxiao, Li Li, et al., Optimal operation strategy of building-type virtual power plant participating in energy and flexible ramping markets[J]. Journal of Shanghai Jiao Tong University, 2026, 60(4): 604-616. [22] 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. [23] 黄大为, 郭念康, 于娜, 等. 面向系统灵活性提升的大用户激励型需求响应优化策略[J]. 电工技术学报, 2024, 39(21): 6778-6792. Huang Dawei, Guo Niankang, Yu Na, et al.Optimization strategy for enhancing system flexibility through incentive demand response of large-scale users[J]. Transactions of China Electrotechnical Society, 2024, 39(21): 6778-6792. [24] 赵旭东, 王艺博, 王博闻, 等. 考虑差异化工业高载能负荷灵活性挖掘的市场实施及调度模型研究综述[J]. 电工技术学报, 2025, 40(7): 2043-2062, 2161. Zhao Xudong, Wang Yibo, Wang Bowen, et al.Review of market implementation and scheduling models considering the flexibility extraction of differentiated industrial energy-intensive loads[J]. Transactions of China Electrotechnical Society, 2025, 40(7): 2043-2062, 2161. [25] 黄悦华, 刘兴韬, 张磊, 等. 基于C藤Copula及条件风险价值的综合能源系统灵活爬坡优化调度[J]. 中国电机工程学报, 2023, 43(24): 9411-9422. Huang Yuehua, Liu Xingtao, Zhang Lei, et al.Flexible ramping optimal scheduling of integrated energy system based on C-vine Copula and conditional value at risk[J]. Proceedings of the CSEE. 2023, 43(24): 9411-9422. [26] 韩慕尧, 陈皓轩, 黄弦超. 基于净负荷特征提取的新型电力系统爬坡需求预测[J/OL]. 华北电力大学学报(自然科学版), 2024: 1-10[2025-09-27]. http://kns.cnki.net/kcms/detail/13.1212.TM.20240726.1326.002.html. Han Muyao, Chen Haoxuan, Huang Xianchao. Net load feature extraction based on a new type of power system, ramping demand forecast[J/OL]. Journal of North China Electric Power University (Natural Science Edition), 2024: 1-10[2025-09-27]. http://kns.cnki.net/kcms/detail/13.1212.TM.20240726.1326.002.html. [27] Fang Xin, Sedzro K S, Yuan Haoyu, et al.Deliverable flexible ramping products considering spatiotemporal correlation of wind generation and demand uncertainties[J]. IEEE Transactions on Power Systems, 2020, 35(4): 2561-2574. [28] Wang Beibei, Hobbs B F.Real-time markets for flexiramp: a stochastic unit commitment-based analysis[J]. IEEE Transactions on Power Systems, 2016, 31(2): 846-860. [29] 王浩元, 别朝红. 考虑不确定性物理边界的灵活爬坡备用分布鲁棒经济调度[J]. 电力自动化设备, 2023, 43(10): 59-68. Wang Haoyuan, Bie Zhaohong.Distributionally robust economic dispatch of flexible ramping reserve considering physical boundaries of uncertainty[J]. Electric Power Automation Equipment, 2023, 43(10): 59-68. [30] Park H, Huang Bing, 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. [31] 管金昱, 王德林, 昌力, 等. 考虑多随机交付场景的爬坡辅助服务市场出清模型[J]. 电力系统自动化, 2025, 49(23): 186-197. Guan Jinyu, Wang Delin, Chang Li, et al.Clearing model for ramping ancillary service market considering multiple stochastic delivering scenarios[J]. Automation of Electric Power Systems, 2025, 49(23): 186-197. [32] 陈皓轩, 张粒子, 黄弦超, 等. 基于电力交易产品细分市场协同机理的新型电力系统灵活爬坡市场机制设计[J]. 电力自动化设备, 2026, 46(5): 26-36. Chen Haoxuan, Zhang Lizi, Huang Xianchao, et al.Design of a flexible ramp market mechanism for new power systems based on the coordination principle of subdivided markets for electricity trading products[J]. Electric Power Automation Equipment, 2026, 46(5): 26-36. [33] 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 Electro-technical Society, 2022, 37(13): 3275-3288. [34] 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. [35] 杨萌. 可再生能源高渗透率电力系统的有功辅助服务市场机制设计与出清模型研究[D]. 北京: 华北电力大学, 2020. Yang Meng.Research on market design and clearing model of active power ancillary service for high renewable energy penetration power system[D]. Beijing: North China Electric Power University, 2020. [36] 张粒子, 陈皓轩, 黄弦超, 等. 电力交易产品细分市场协同机理研究[J]. 中国电机工程学报, 2024, 44(16): 6320-6334. Zhang Lizi, Chen Haoxuan, Huang Xianchao, et al.Research on the synergistic mechanism of power trading product segments market[J]. Proceedings of the CSEE, 2024, 44(16): 6320-6334. [37] 国家发展改革委, 国家能源局. 关于印发《电力市场计量结算基本规则》的通知[EB/OL]. (2025-07-18) [2025-11-18]. https://www.ndrc.gov.cn/xxgk/zcfb/ghxwj/202508/t20250806_1399686.html.