基于等效有功下垂系数的构网型储能自适应频率控制策略

Equivalent Active Power Droop Coefficient-based Adaptive Frequency Control Strategy for Grid-forming Energy Storage System

  • 摘要: 为应对高比例新能源电力系统中惯量衰减与频率失稳的风险,提出了一种基于自适应等效有功下垂系数的虚拟同步发电机(Virtual synchronous generator,VSG)控制策略。通过建立由VSG控制下储能单元与同步机系统动态耦合模型,推导出频率波动幅值Δf与储能有功出力ΔP之间的解析表达式,揭示固定下垂系数导致惯量支撑与功率调节失配的内在机理。设计虚拟同步发电机(VSG)控制过程中下垂系数自适应调节方法,依据实时惯量动态修正控制参数,使系统在阶跃型负荷扰动工况下频率超调量降低0.05 Hz,阶跃负荷扰动期间将频率波动严格控制在±0.15 Hz的安全区间。基于Matlab/ Simulink的仿真表明,所提控制策略可以使储能有功输出动态过程与理论计算值偏差小于3%,频率动态过程与理论计算值偏差小于1%,验证了所提控制策略的有效性及工程适用性。

     

    Abstract: To address the issues of inertia and frequency instability in power systems with high-penetration renewable energy, an adaptive active power droop control strategy based on equivalent active power droop is proposed for grid-forming energy storage system(GF-ESS) control. A dynamic coupling model is established for energy storage units regulated by virtual synchronous generator(VSG) technology and real synchronous generators(SGs). Analytical expressions are derived to characterize the relationship between the amplitude of frequency fluctuation(Δf) and the output active power variation(ΔP) of the energy storage unit. These expressions reveal the mechanism behind the mismatch between inertia support and power regulation caused by traditional fixed droop coefficients. Subsequently, an adaptive droop coefficient adjustment method is proposed, which dynamically modifies parameters based on real-time inertia estimation. The proposed method enables the frequency overshoot to be reduced by 0.05 Hz under continuous load changes and confines the frequency fluctuations strictly within the bandwidth of ±0.15 Hz under step load disturbances. Simulation results are presented to validate the effectiveness of the proposed method. The results show that within the coordinated frequency regulation system, the maximum deviation between the actual and theoretical output active power of the energy storage unit is less than 3%, and the deviation during the dynamic frequency response process is below 1%. This verifies the effectiveness and engineering applicability of the proposed control strategy.

     

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