MA Yao, XU Guoyi, KUANG Shiqi, et al. Estimation of Frequency Control Capability Considering Dynamic Characteristics of Different Renewable Generation Resources[J]. 2026, 46(9): 3493-3503.
MA Yao, XU Guoyi, KUANG Shiqi, et al. Estimation of Frequency Control Capability Considering Dynamic Characteristics of Different Renewable Generation Resources[J]. 2026, 46(9): 3493-3503.DOI: 10.13334/j.0258-8013.pcsee.250026.
大量基于换流器接口的新能源电源接入引起电力系统频率稳定问题。新能源电源采用虚拟惯量、一次调频控制可以提高其主动支撑电网频率的能力,然而,新能源参与调频面临调而不动、动而不达的问题,基于测量数据准确评估新能源的频率调节能力对于确保低惯量电力系统的频率稳定至关重要。该文针对现有新能源及储能调频能力评估方法未充分考虑电源动态过程及惯量与一次调频功率耦合作用,可能引起评估结果失准的问题,分析同步机调频响应和新能源电源调频响应的区别;考虑调频动态过程,提出虚拟惯量和一次调频功率解耦方法;利用解耦的虚拟惯量功率提出基于参数辨识的虚拟惯性时间常数评估方法;利用实时数字仿真器(real time digital simulation system,RTDS)、同步相量测量单元(phasor measurement unit,PMU)构建半实物平台用于新能源频率支撑能力评估仿真测试,验证虚拟惯性时间常数和一次调频调差系数的评估结果;采用现场实测数据对所提评估方法的实用性和正确性进行进一步验证。结果表明,所提评估方法能准确评估新能源场站调频能力,对指导新能源场站配置调频能力和设定相关调频控制参数具有重要意义。
Abstract
The integration of large number of renewable energy resources based on converter interfaces led to frequency stability issues in power systems. Virtual inertia and primary frequency control strategy of the renewable energy units can enhance their active frequency support capability
but their control performances may not fulfill the requirement. Accurate estimation of the frequency control capability of renewable energy units based on measurement is crucial for ensuring the frequency stability of low inertia power systems. The existing evaluation methods fall short of accurately accounting for two critical factors: the dynamic processes of renewable energy resources following system perturbations
and the inherent coupling between inertial characteristics and primary frequency control power. These oversights might introduce significant deviations in estimation outcomes. This paper first compares the dynamic frequency response between synchronous generator and renewable generators
and then proposes a method to decouple the inertia control power and a parameter identification method to estimate the inertia constant based on the decoupled inertia power. Finally
a hardware-in- the-loop experimental platform for estimating the frequency control capability of renewable energy resources is constructed using the real time digital simulation system and phasor measurement unit. The evaluation results of virtual inertia time constant and primary frequency control coefficient are validated with the test platform and field data. The result shows accurate frequency control capability can be obtained with the proposed methods
which will be helpful for the capability configuration and parameter setting of the frequency control resources.