Frequency Regulation Characteristic Compensation Strategy of Non-Synchronous Sources Based on Measured Power
Huang Ziyang1, Tian Xiaokang1, Tian Guangyuan2, Yuan Shaojun2, Li Gengyin1
1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing 102206 China; 2. State Grid Jibei Electric Power Company Limited Chengde Power Supply Company Chengde 067000 China
Abstract:The large-scale integration of renewable energy sources such as wind and photovoltaic has weakened the inertial response and primary frequency regulation capability of system, posing severe challenges to frequency stability. Relying solely on synchronous generators can hardly achieve high-quality transient frequency regulation, making it urgent to explore new frequency regulation resources and methods. Non?synchronous sources with converter interfaces, such as wind turbine generators, photovoltaic units, and energy storage systems, feature flexible operation modes and possess multi?timescale frequency regulation capabilities. Overcoming source heterogeneity and fully unleashing the frequency regulation potential of these non?synchronous sources has become a key issue in designing effective frequency regulation strategies. Currently, most studies still refer to the frequency regulation characteristics of synchronous generators when constructing regulation strategies for non?synchronous sources, which limits the full exploitation of their active support capability under different regulation conditions. Another line of research attempts to break away from the synchronous generator response framework and design customized regulation strategies. However, these designs often rely heavily on specific models and lack generality. Some studies have begun to shift toward automated and intelligent frequency regulation strategies, but they usually involve complex modeling and require multi?step solutions, making it difficult to guarantee control timeliness. To address these limitations, this paper introduces a novel transient frequency regulation strategy from the perspective of compensating other sources. First, a simplified model of non-synchronous sources that includes a unified form of energy conversion process is established, mapping heterogeneous dynamics into a unified form of energy conversion links. Then, with the goal of achieving overdamped transient frequency response, a model-free frequency regulation characteristic compensation strategy based on measured power is proposed, accompanied by a reference power generation link for operational state switching. Moreover, considering the spatial distribution characteristics of the sources to be compensated, a line loss deviation correction strategy is developed to enhance the regulation performance. Finally, simulations conducted on an IEEE 9-bus extended system under different scenarios confirm the effectiveness and superiority of the proposed strategy in improving transient frequency response. The main conclusion of this paper can be summarized as follows: (1) The proposed strategy exhibits strong generality. Within a unified energy framework, it is applicable to heterogeneous non-synchronous sources such as wind turbine generators, photovoltaic units, and battery energy storage systems, without requiring prior knowledge of the complete frequency regulation characteristics of the compensated sources, thereby effectively exploiting the frequency regulation potential of various source types. (2) The proposed strategy demonstrates excellent control performance. When compensating for the frequency regulation characteristics of synchronous generators, its regulation effectiveness is significantly superior to that of the conventional SIC and CFC strategies, and the energy of non-synchronous sources is efficiently utilized. When the frequency regulation characteristics of all synchronous generators are fully compensated, the system can achieve an overdamped transient frequency response. (3) The proposed strategy possesses strong scenario adaptability. It can effectively eliminate the adverse effects of line loss deviations on the transient frequency response, while ensuring that energy remains within limits during the regulation process through output constraints.
[1] 王祥宇, 辛焕海, 傅闯, 等. 考虑实际工况的新能源经柔性直流送出系统强度评估[J]. 电工技术学报, 2025, 40(15): 4708-4721. Wang Xiangyu, Xin Huanhai, Fu Chuang, et al.System voltage support strength evaluation for renewables HVDC transmission system considering operating condition[J]. Transactions of China Electro-technical Society, 2025, 40(15): 4708-4721. [2] 安军, 李可心, 周毅博, 等. 面向抑制频率波动的新型电力系统调频能力需求评估[J]. 电工技术学报, 2026, 41(5): 1495-1509. An Jun, Li Kexin, Zhou Yibo, et al.Frequency fluctuation suppression-oriented evaluation of frequency regulation capability requirements for new-type power systems[J]. Transactions of China Electrotechnical Society, 2026, 41(5): 1495-1509. [3] 田立亭, 程林, 郭剑波, 等. 虚拟电厂对分布式能源的管理和互动机制研究综述[J]. 电网技术, 2020, 44(6): 2097-2108. Tian Liting, Cheng Lin, Guo Jianbo, et al.A review on the study of management and interaction mechanism for distributed energy in virtual power plants[J]. Power System Technology, 2020, 44(6): 2097-2108. [4] 刘洪波, 彭晓宇, 张崇, 等. 风电参与电力系统调频控制策略综述[J]. 电力自动化设备, 2021, 41(11): 81-92. Liu Hongbo, Peng Xiaoyu, Zhang Chong, et al.Overview of wind power participating in frequency regulation control strategy for power system[J]. Electric Power Automation Equipment, 2021, 41(11): 81-92. [5] 王同森, 程雪坤. 计及转速限值的双馈风机变下垂系数控制策略[J]. 电力系统保护与控制, 2021, 49(9): 29-36. Wang Tongsen, Cheng Xuekun.Variable droop coefficient control strategy of a DFIG considering rotor speed limit[J]. Power System Protection and Control, 2021, 49(9): 29-36. [6] 柯贤波, 张文朝, 李朋旺, 等. 高风电渗透率系统的模糊自适应虚拟惯量控制[J]. 电网技术, 2020, 44(6): 2127-2134. Ke Xianbo, Zhang Wenchao, Li Pengwang, et al.Fuzzy adaptive virtual inertia control for high wind power penetration system[J]. Power System Technology, 2020, 44(6): 2127-2134. [7] 姚雅涵, 熊永新, 姚伟, 等. 面向电网频率快速支撑的风电场自适应分布式协调控制[J]. 中国电机工程学报, 2024, 44(2): 561-572. Yao Yahan, Xiong Yongxin, Yao Wei, et al.Adaptive distributed cooperative control of wind farms for grid frequency fast support[J]. Proceedings of the CSEE, 2024, 44(2): 561-572. [8] 孙铭爽, 贾祺, 张善峰, 等. 面向机电暂态分析的光伏发电参与电网频率调节控制策略[J]. 电力系统保护与控制, 2019, 47(18): 28-37. Sun Mingshuang, Jia Qi, Zhang Shanfeng, et al.Single-stage grid-connected photovoltaic generation takes part in grid frequency regulation for electro-mechanical transient analysis[J]. Power System Protection and Control, 2019, 47(18): 28-37. [9] Kabsha M M, El Moursi M S, El-Fouly T H M, et al. Frequency and voltage disturbances ride-through control strategy for PV power plants[J]. IEEE Transactions on Sustainable Energy, 2025, 16(2): 1068-1083. [10] 李欣然, 邓涛, 黄际元, 等. 储能电池参与电网快速调频的自适应控制策略[J]. 高电压技术, 2017, 43(7): 2362-2369. Li Xinran, Deng Tao, Huang Jiyuan, et al.Battery energy storage systemsê self-adaptation control strategy in fast frequency regulation[J]. High Voltage Engineering, 2017, 43(7): 2362-2369. [11] 邓霞, 孙威, 肖海伟. 储能电池参与一次调频的综合控制方法[J]. 高电压技术, 2018, 44(4): 1157-1165. Deng Xia, Sun Wei, Xiao Haiwei.Integrated control strategy of battery energy storage system in primary frequency regulation[J]. High Voltage Engineering, 2018, 44(4): 1157-1165. [12] 王晓东, 李凯凯, 刘颖明, 等. 基于状态观测器的风电机组单机储能系统虚拟惯量控制[J]. 电工技术学报, 2018, 33(6): 1257-1264. Wang Xiaodong, Li Kaikai, Liu Yingming, et al.Virtual inertia control of energy storage system in wind turbine based on extended state observer[J]. Transactions of China Electrotechnical Society, 2018, 33(6): 1257-1264. [13] 陈厚合, 于浩田, 刘先超, 等. 大规模风电经LCC-HVDC送出的送端电网频率协同控制策略[J]. 电力自动化设备, 2023, 43(9): 210-217. Chen Houhe, Yu Haotian, Liu Xianchao, et al.Frequency cooperative control strategy of sending-end power grid with large-scale wind power sent out by LCC-HVDC[J]. Electric Power Automation Equipment, 2023, 43(9): 210-217. [14] 张建华, 王永岳. 基于矩母函数的风电场群快速调频策略[J]. 动力工程学报, 2025, 45(10): 1680-1688. Zhang Jianhua, Wang Yongyue.Fast frequency regulation strategy for wind farm cluster based on moment generating function[J]. Journal of Chinese Society of Power Engineering, 2025, 45(10): 1680-1688. [15] 赵晶晶, 李敏, 何欣芹, 等. 基于限转矩控制的风储联合调频控制策略[J]. 电工技术学报, 2019, 34(23): 4982-4990. Zhao Jingjing, Li Min, He Xinqin, et al.Coordinated control strategy of wind power and energy storage in frequency regulation based on torque limit control[J]. Transactions of China Electrotechnical Society, 2019, 34(23): 4982-4990. [16] 孙铭, 徐飞, 陈磊, 等. 利用转子动能的风机辅助频率控制最优策略[J]. 中国电机工程学报, 2021, 41(2): 506-513. Sun Ming, Xu Fei, Chen Lei, et al.Optimal auxiliary frequency control strategy of wind turbine generator utilizing rotor kinetic energy[J]. Proceedings of the CSEE, 2021, 41(2): 506-513. [17] Sun Ming, Sun Yong, Chen Lei, et al.Novel temporary frequency support control strategy of wind turbine generator considering coordination with synchronous generator[J]. IEEE Transactions on Sustainable Energy, 2022, 13(2): 1011-1020. [18] 杨鹏程, 冯启帆, 韦巍, 等. 分布式光伏电源分散式自适应主动频率支撑控制[J]. 电网技术, 2025, 49(9): 3566-3576. Yang Pengcheng, Feng Qifan, Wei Wei, et al.Decentralized adaptive frequency support control of distributed PV sources[J]. Power System Technology, 2025, 49(9): 3566-3576. [19] 梁继业, 袁至, 王维庆, 等. 基于电池储能系统的综合自适应一次调频策略[J]. 电工技术学报, 2025, 40(7): 2322-2334. Liang Jiye, Yuan Zhi, Wang Weiqing, et al.Comprehensive adaptive primary frequency control strategy based on battery energy storage system[J]. Transactions of China Electrotechnical Society, 2025, 40(7): 2322-2334. [20] 付媛, 万怿, 张祥宇, 等. 储能虚拟惯量主动支撑与调频状态转移控制[J]. 中国电机工程学报, 2024, 44(7): 2628-2640. Fu Yuan, Wan Yi, Zhang Xiangyu, et al.Energy storage virtual inertia active support and frequency modulation state transfer control[J]. Proceedings of the CSEE, 2024, 44(7): 2628-2640. [21] 刘巨, 姚伟, 文劲宇, 等. 一种基于储能技术的风电场虚拟惯量补偿策略[J]. 中国电机工程学报, 2015, 35(7): 1596-1605. Liu Ju, Yao Wei, Wen Jinyu, et al.A wind farm virtual inertia compensation strategy based on energy storage system[J]. Proceedings of the CSEE, 2015, 35(7): 1596-1605. [22] Ma Shaokang, Geng Hua, Yang Geng, et al.Clustering-based coordinated control of large-scale wind farm for power system frequency support[J]. IEEE Transactions on Sustainable Energy, 2018, 9(4): 1555-1564. [23] Zhang Yubo, Hao Zhiguo, Yang Songhao, et al.A system-view optimal additional active power control of wind turbines for grid frequency support[J]. IEEE Transactions on Power Systems, 2024, 39(2): 4323-4335. [24] 董清, 张睿哲, 颜湘武, 等. 计及轴系疲劳载荷的风储联合一次调频控制策略[J]. 电工技术学报, 2026, 41(3): 912-923. Dong Qing, Zhang Ruizhe, Yan Xiangwu, et al.A primary frequency control strategy for wind-storage combined systems considering shaft fatigue loads[J]. Transactions of China Electrotechnical Society, 2026, 41(3): 912-923. [25] 贾文杰, 唐早, 曾平良, 等. 基于鲁棒模型预测控制的风火储联合系统调频优化策略[J]. 电测与仪表, 2023, 60(12): 27-35. Jia Wenjie, Tang Zao, Zeng Pingliang, et al.Frequency regulation optimization strategy for wind-thermal-storage joint system based on robust model predictive control[J]. Electrical Measurement & Instrumentation, 2023, 60(12): 27-35. [26] Zhang Zhihao, Kou Peng, Zhang Yuanhang, et al.Coordinated predictive control of offshore DC collection grid and wind turbines for frequency response: a scheme without secondary frequency drop[J]. IEEE Transactions on Sustainable Energy, 2023, 14(3): 1488-1503. [27] 马智慧, 李欣然, 谭庄熙, 等. 考虑储能调频死区的一次调频控制方法[J]. 电工技术学报, 2019, 34(10): 2102-2115. Ma Zhihui, Li Xinran, Tan Zhuangxi, et al.Integrated control of primary frequency regulation considering dead band of energy storage[J]. Transactions of China Electrotechnical Society, 2019, 34(10): 2102-2115. [28] Huang Ziyang, Wang Zihan, Zhang Xiaonan, et al.Energy utilization trajectory based additional frequency control of wind turbine generator for dynamic frequency regulation[J]. CSEE Journal of Power and Energy Systems, 2026, 12(2): 698-711.