彭竹弈, 谢珍建, 张文嘉, et al. Minimum inertia demand assessment for new power system considering multiresource frequency response characteristics[J]. 2025, 27(5).
DOI:
彭竹弈, 谢珍建, 张文嘉, et al. Minimum inertia demand assessment for new power system considering multiresource frequency response characteristics[J]. 2025, 27(5). DOI: 10.3969/j.issn.1009-1831.2025.05.015.
Minimum inertia demand assessment for new power system considering multiresource frequency response characteristics
电力电子型电源大规模并网使得新型电力系统(new power system,NPS)逐渐呈现“低惯量”特性,频率特征指标愈发接近安全临界值,严重影响系统频率运行安全。为量化分析多资源参与调频下NPS的最小惯量需求,首先建立改进的多机系统频率响应模型并量化分析频率特征。其次,以动能的形式计算系统理论惯量,并基于频率变化率(rate of change of frequency,RoCoF)和滑动窗口技术得到计算惯量。接着,以初始频率变化率、最大频率偏差及稳态频率偏差为频率变化约束指标,并加入系统惯量不足时的改善措施,计算得到多资源参与调频下NPS最小惯量。最后,利用仿真软件验证本文所提NPS最小惯量需求评估方法的可行性,为基于频率响应特性临界指标下的最低惯量需求的规划分析提供指导依据。
Abstract
With the large-scale grid connection of power electronic power sources
the new power system(NPS)gradually exhibits the characteristics of low inertia
and the indexes of frequency characteristics are getting closer to the safety critical value
which seriously affects the frequency safety of system operation. To quantitatively analyze the minimum inertia requirement of the power electronic power system under the condition of multi-resource participation in frequency regulation(FR)when it is disturbed by active power
based on the improved frequency response model of the multi-machine system
a minimum inertia estimation method of the power system considering frequency response characteristics is proposed. The theoretical inertia of each FR unit is represented in the form of rotor kinetic energy
and the calculated inertia of the power system is quantified based on the rate of change of frequency(RoCoF). The sliding window technique is used to select the data set with the smallest variance and obtain the final calculated inertia of the system. The proposed estimation method takes the initial RoCoF
the maximum frequency deviation and the steady-state frequency deviation as the frequency change constraint indicators
and the improvement measures when the system inertia is insufficient are added to calculate the minimum inertia of the NPS under the multi-resource participation in FR. Finally
the feasibility of the NPS minimum inertia demand estimation method proposed is verified by using simulation software
which provides a guiding basis for the rationalized allocation of NPS FR resources.