HIGH-PRECISION PRIMARY FREQUENCY MODULATION ALGORITHM AND APPLICATION OF ELECTRIC FOR WIND GROUPS BASED ON ANTI-ENERGY OVER-SUPPORT CONTROL

Zhao Qiaohong; Wu Lianghong; Guo Bizhang; Yang Jingwei; Zhou Wuxi; Cao Junwei

doi:10.19912/j.0254-0096.tynxb.2024-1850

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (2) : 569-578. DOI: 10.19912/j.0254-0096.tynxb.2024-1850

HIGH-PRECISION PRIMARY FREQUENCY MODULATION ALGORITHM AND APPLICATION OF ELECTRIC FOR WIND GROUPS BASED ON ANTI-ENERGY OVER-SUPPORT CONTROL

Zhao Qiaohong¹, Wu Lianghong², Guo Bizhang³, Yang Jingwei¹, Zhou Wuxi⁴, Cao Junwei⁴

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Abstract

When the primary frequency control modulation applies the traditional control algorithm to control the existing wind groups, there are problems such as over-supporting of energy during sudden changes in wind speed leading to wind turbines power drop or even off-grid, poor anti-disturbance performance, and large control errors, making it difficult to meet the grid ultra-fast and strong complementary inertia support of the high standard requirements. In order to solve the above problems, based on the analysis of a large number of wind groups of historical data, this article proposes an anti-energy over-support high-precision and high-reliability optimization control algorithm. Firstly, a spike identification algorithm is proposed to identify and prevent the energy over-support problem in advance. Secondly, an asymptotic variable-length stepping algorithm is given to improve the perturbation resistance. Then an adaptive dynamic compensation algorithm is adopted to improve the control accuracy of the system. Finally, the algorithm is applied to control a representative wind groups in a mountainous area of Hunan province. The actual application results show that after using the algorithm in this article, the system does not appear power fall and off-grid problems, the anti-disturbance performance has been significantly improved, and the control accuracy is within 0.5%, which is much higher than the test standard requirements. The optimized control algorithm of wind groups electric primary frequency regulation proposed in this article significantly improves the grid stability, safety and disturbance rejection of wind groups.

Key words

primary frequency modulation / wind groups / control algorithms / anti-energy over-support / control accuracy

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Zhao Qiaohong, Wu Lianghong, Guo Bizhang, Yang Jingwei, Zhou Wuxi, Cao Junwei. HIGH-PRECISION PRIMARY FREQUENCY MODULATION ALGORITHM AND APPLICATION OF ELECTRIC FOR WIND GROUPS BASED ON ANTI-ENERGY OVER-SUPPORT CONTROL[J]. Acta Energiae Solaris Sinica. 2026, 47(2): 569-578 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1850

References

[1] ZHAO Q H, ZHOU Z, SONG X P, et al.High-precision intelligent dynamic scheduling algorithm and application during service of wind turbine group[C]//The Proceedings of the 18th Annual Conference of China Electrotechnical Society. Singapore: Springer Nature Singapore, 2024: 521-534.
[2] 郑重, 苗世洪, 李超, 等. 面向微型能源互联网接入的交直流配电网协同优化调度策略[J]. 电工技术学报, 2022, 37(1): 192-207.
ZHENG Z, MIAO S H, LI C, et al.Coordinated optimal dispatching strategy of AC/DC distribution network for the integration of micro energy Internet[J]. Transactions of China Electrotechnical Society, 2022, 37(1): 192-207.
[3] 马凯琳, 张蕾, 柳乐怡. 基于一致性算法的新能源电力系统风电机组一次调频控制[J]. 自动化与仪表, 2024, 39(5): 26-29, 39.
MA K L, ZHANG L, LIU L Y.Primary frequency regulation control of wind turbines in new energy power systems based on consistency algorithm[J]. Automation & instrumentation, 2024, 39(5): 26-29, 39.
[4] TAN D.Structured microgrids (SμGs) and flexible electronic large power transformers (FeLPTs)[J]. CES transactions on electrical machines and systems, 2020, 4(4): 255-263.
[5] 周涛, 张锋杨, 徐妍, 等. 计及风力发电机转速安全约束的DFIG一次调频模型预测控制策略[J]. 南京理工大学学报, 2024, 48(2): 155-164.
ZHOU T, ZHANG F Y, XU Y, et al.Model predictive control strategy of DFIG in primary frequency regulation considering wind-turbine speed safety constraints[J]. Journal of Nanjing University of Science and Technology, 2024, 48(2): 155-164.
[6] 陈厚合, 丛前, 姜涛, 等. 多能协同的配电网供电恢复策略[J]. 电工技术学报, 2022, 37(3): 610-622, 685.
CHEN H H, CONG Q, JIANG T, et al.Distribution systems restoration with multi-energy synergy[J]. Transactions of China Electrotechnical Society, 2022, 37(3): 610-622, 685.
[7] 赵巧红, 施星宇, 曾照福, 等. 风电场跨平台协议转换系统设计与实现[J]. 湖南科技大学学报(自然科学版), 2019, 34(3): 61-68.
ZHAO Q H, SHI X Y, ZENG Z F, et al.Design and implementation of wind farm cross-platform protocol conversion system[J]. Journal of Hunan University of Science & Technology (natural science edition), 2019, 34(3): 61-68.
[8] 张祥宇, 朱永健, 付媛. 基于系统惯量需求的风储协同快速频率响应技术[J]. 中国电机工程学报, 2023, 43(14): 5415-5429.
ZHANG X Y, ZHU Y J, FU Y.Wind-storage cooperative fast frequency response technology based on system inertia demand[J]. Proceedings of the CSEE, 2023, 43(14): 5415-5429.
[9] 李国庆, 刘先超, 辛业春, 等. 含高比例新能源的电力系统频率稳定研究综述[J]. 高电压技术, 2024, 50(3): 1165-1181.
LI G Q, LIU X C, XIN Y C, et al.Research on frequency stability of power system with high penetration renewable energy: a review[J]. High voltage engineering, 2024, 50(3): 1165-1181.
[10] TOULABI M, ASHOURI-ZADEH A, KAZARI H, et al.Application of Bang-Bang controller to emulate primary frequency response in DFIGs[J]. IEEE systems journal, 2020, 14(2): 2615-2623.
[11] SUN M, MIN Y, CHEN L, et al.Optimal auxiliary frequency control of wind turbine generators and coordination with synchronous generators[J]. CSEE journal of power and energy systems, 2021, 7(1): 78-85.
[12] ZHAO C, SUN D, ZHANG X, et al.A two-stage power distribution scheme of multiple wind farms participating in primary frequency regulation[J]. IEEE transactions on power systems, 2023, 38(6): 5009-5021.
[13] 胡阳, 姚欣然, 房方, 等. 数据驱动的风电场全工况非线性调频动态建模[J]. 电力系统自动化, 2023, 47(15): 162-169.
HU Y, YAO X R, FANG F, et al.Data-driven dynamic modeling of nonlinear frequency regulation for wind farm under all operation conditions[J]. Automation of electric power systems, 2023, 47(15): 162-169.
[14] 申家锴, 李卫东, 李正文, 等. 计及一次调频死区与限幅的高比例风电电力系统机组组合[J]. 电网技术, 2022, 46(4): 1326-1337.
SHEN J K, LI W D, LI Z W, et al.Unit commitment of power system with high proportion of wind power considering the deadband and limiter of primary frequency response[J]. Power system technology, 2022, 46(4): 1326-1337.
[15] 张冬生, 刘洪, 李朝锋. 基于数字孪生的混合微电网多目标优化调度[J]. 太阳能学报, 2025, 46(2): 184-192.
ZHANG D S, LIU H, LI C F.Digital twin-based multi-objective optimal scheduling for hybrid microgrids[J]. Acta energiae solaris sinica, 2025, 46(2): 184-192.
[16] 李佳玉, 魏乐, 房方, 等. 基于一致性算法的飞轮储能群组双层分布式协同控制[J]. 太阳能学报, 2025, 46(3): 34-42.
LI J Y, WEI L, FANG F, et al.Two-layer distributed cooperative control of flywheel energy storage groups based on consensus algorithm[J]. Acta energiae solaris sinica, 2025, 46(3): 34-42.
[17] YAN J M, LIU F L, WANG F, et al.A coordinated frequency regulation method for offshore wind farms integrated by VSC-HVDC[C]//2020 5th Asia Conference on Power and Electrical Engineering (ACPEE). Chengdu, China, 2020: 602-606.
[18] KE D P, CHUNG C Y, XU J, et al.Inertia emulation uncorrelated with electromechanical dynamics to improve frequency transients using center of inertia (COI) frequency signal[J]. IEEE transactions on power systems, 2021, 36(3): 1736-1749.
[19] 李志颖, 王致杰, 王鸿. 考虑功率可调节裕度的区域综合能源系统多时间尺度优化调度[J]. 太阳能学报, 2025, 46(2): 255-261.
LI Z Y, WANG Z J, WANG H.Multi-time scale optimal scheduling of regional integrated energy system considering power adjustable margin[J]. Acta energiae solaris sinica, 2025, 46(2): 255-261.
[20] 周勃, 李二超. 一种考虑风光不确定性的热电混合共享储能双层优化配置方法[J]. 太阳能学报, 2025, 46(3): 189-198.
ZHOU B, LI E C.A two-layer optimal allocation method for hybrid shared energy storage considering the uncertainty of wind power and photovoltaic[J]. Acta energiae solaris sinica, 2025, 46(3): 189-198.