An Integrated Virtual Inertia Control Parameter Setting Method for Wind Turbine Based on Available Frequency Regulation Energy
Li Kexin1, An Jun1, Shi Yan1, Zhou Yibo1, Liu Chuyu2
1. Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin 132012 China; 2. Northeast Branch of State Grid Corporation of China Shenyang 110180 China
Abstract：The additional integrated virtual inertia control of wind turbine is an important measure to improve the frequency stability of new type power system. It is of great significance to evaluate the frequency regulation capability of wind turbine under this control effectively and make full use of the frequency regulation capability by setting control parameters reasonably, hence, an integrated virtual inertia control parameter setting method for wind turbine based on available frequency regulation energy is proposed. Firstly, considering the mechanical energy loss, a mathematical model describing the relationship between available rotor kinetic energy and rotor speed is constructed from the perspective of energy, and the effect of wind speed on available rotor kinetic energy is discovered. Secondly, the available frequency regulation energy is converted into available frequency regulation power, so that the relationship between the available frequency regulation power and wind speed can be described intuitively. On this basis, in order to make full use of the available frequency regulation power, the relational expression between the frequency regulation power and the control parameters is established. Considering the frequency regulation requirements in different scenarios, the fuzzy control rules are designed, and the control parameter setting values are obtained by using the fuzzy logic control method when the comprehensive effect of the system frequency change rate and the lowest frequency is optimal. Finally, the proposed method is applied to a 3-machines 9-nodes system, and the effectiveness of the proposed method is verified by simulation. It is found that the maximum available frequency regulation power of wind turbine increases with the increase of wind speed. Under rated wind speed, the maximum available frequency regulation power of 2 MW wind turbine is 3% of rated power. In the simulation example, the proposed parameter setting method is compared with those without additional control, constant coefficient control and the parameter setting method of energy distribution mechanism of synchronous machine. The simulation results show that, at low wind speed, the method that does not consider the available frequency regulation energy exceeds the rotor speed limit corresponding to the maximum available frequency regulation energy due to the large parameter setting, and not only the frequency regulation effect becomes worse, moreover, the secondary frequency drop is aggravated due to excessive release of kinetic energy of rotor. At high wind speed, the parameter setting is too small, so the kinetic energy of the rotor is not fully utilized. When the available frequency regulation energy is considered, the rotor kinetic energy can be utilized to the maximum extent within the rotor speed limit of the wind turbine, and the frequency regulation effect is better. At the same time, compared with the energy distribution mechanism of synchronous machine, the proposed parameter setting method based on fuzzy control can consider the adjustment requirements of the frequency change rate and the lowest frequency under different scenarios, and determine the priority of frequency regulation, so as to optimize the comprehensive control effect of the system. The following conclusions can be obtained through the analysis and verification: (1) The mathematical model of available frequency regulation power of wind turbine considering mechanical energy loss can directly describe the relationship between available frequency regulation power of wind turbine and wind speed. (2) Considering the frequency regulation requirements under different scenarios, the proposed parameter setting method can flexibly adjust the integrated virtual inertia control parameters, and maximize the frequency regulation capability of wind turbine on the basis of ensuring operation safety.
李可心, 安军, 石岩, 周毅博, 刘楚瑜. 基于可用调频能量的风电机组综合虚拟惯性控制参数整定[J]. 电工技术学报, 2025, 40(5): 1382-1394.
Li Kexin, An Jun, Shi Yan, Zhou Yibo, Liu Chuyu. An Integrated Virtual Inertia Control Parameter Setting Method for Wind Turbine Based on Available Frequency Regulation Energy. Transactions of China Electrotechnical Society, 2025, 40(5): 1382-1394.
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2025, Vol. 40 
