考虑抑制二次跌落的风电自适应频率支撑控制策略及其参数整定

doi:10.19595/j.cnki.1000-6753.tces.250393

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Abstract

Wind power exhibits varying frequency support capabilities for power systems under different wind speed scenarios. The kinetic energy available for frequency support from wind power, along with the alignment of the control strategy and its parameters, significantly impacts the system frequency dynamic. For wind turbines utilizing rotor energy control, the effectiveness of the power feedback loop in responding to changes in system frequency is influenced by the magnitude of the virtual inertia and droop control parameters. If these control parameters are set too low, wind turbines will have a minimal impact on supporting system frequency. Conversely, if parameters are set too high, wind turbines may trigger speed protection due to a rapid decrease in rotational speed during the primary frequency regulation period, ultimately leading to a secondary drop in system frequency. To enhance the stability and sustainability of wind power participation in frequency support, this paper proposed a control strategy and parameter configuration method that emphasizes smooth speed recovery for wind turbines.
Firstly, after the system frequency reaches its nadir, wind turbines adaptively reduce their active output to enter a speed recovery state. Concurrently, frequency support control parameters are adjusted based on the state of speed recovery to mitigate any adverse effects on the system frequency. By analyzing the deviation from the initial operating point during the frequency support period of wind turbines, the minimum kinetic energy loss at different speeds is calculated, determining the maximum frequency support energy available. Next, the time-domain expression for the system frequency response model is derived, incorporating the contributions of synchronous generators and wind power in frequency support, and unifying the calculation formula for frequency extreme points across varying damping ratios. Following this, optimization models are established based on frequency security constraints and wind turbine frequency support energy constraints. These models aim to minimize both the frequency support from wind turbines and the deviations from initial operating points, thereby facilitating the configuration of control parameters for each wind farm during fault scenarios. Finally, the effectiveness of the proposed method is validated through simulations involving the IEEE 30-bus system and an actual power grid.
From the simulation analysis, the following conclusions can be drawn: (1) The all-damping SFR model proposed in this paper exhibits minimal calculation errors for the maximum frequency deviation in both over-damping and under-damping conditions, with the frequency dynamics following disturbances aligning closely with actual engineering outcomes. (2) The control strategy presented herein disables MPPT control during the initial phase of frequency support, allowing wind farms to provide sufficient assistance to the system frequency. Once the system frequency reaches its nadir, the output from wind farms is adaptively reduced, enabling wind turbines to transition into a speed recovery state. As turbine speeds enter the recovery phase, the frequency support control parameters are gradually decreased, preventing abrupt power changes and significant secondary drops. (3) The parameter optimization model takes into account the available kinetic energy of wind turbines and the rate of change of frequency. The first stage of the optimization model prioritizes frequency support from wind turbines as the objective function, while the second stage aims to minimize deviations from the initial positions of the turbines. This approach mitigates the impact of operating point deviations for each wind farm, thereby enhancing overall system frequency performance.

Key words： Wind farm frequency support control parameter configuration speed recovery secondary drop

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	Zhang Chao
	Wen Yunfeng
	Li Jingxian
	Liao Bangkun
	Sun Mingrui

Cite this article:

Zhang Chao,Wen Yunfeng,Li Jingxian等. An adaptive frequency support control strategy and parameter configuration method of wind power considering the mitigation secondary drop[J]. Transactions of China Electrotechnical Society, 0, (): 20250393-20250393.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.250393 OR https://dgjsxb.ces-transaction.com/EN/Y0/V/I/20250393

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