电力系统振荡稳定性问题由来已久,随着新能源的高比例、大规模接入,因其不确定性、弱惯性特性及其与传统电力系统的交互作用,将给电力系统振荡问题带来新的挑战。该文提出一种基于模式谐振法的电力系统振荡风险识别与抑制方法,将新能源发电部分和传统电力系统部分作为两个独立的子系统,以其开环状态矩阵特征值判定模式谐振条件满足情况,进一步估算闭环系统特征值及振荡情况;在此基础上,引入参与因子,确定引发各频段振荡的主导因素,优化调节系统参数,改变系统特征值分布,破除振荡条件,从而抑制振荡;建立系统模型,并在Matlab软件平台进行算例仿真分析与验证。结果表明：该方法能有效识别系统宽频振荡,并准确识别振荡诱因,有效抑制振荡,提高系统阻尼,提升系统稳定性。
Abstract
The power system oscillation and stability problem have a long history. With the high proportion and large-scale access to new energy, its uncertainty, low inertia characteristics and interaction with traditional power systems will bring new challenges to the oscillation problem. In this paper, a method of power system oscillation risk identification and suppression based on mode analysis is proposed. The new energy generation part and the traditional power system part were regarded as two independent subsystems, and their open-loop state matrix eigenvalues were used to determine the satisfaction of mode resonance conditions, and the closed-loop system eigenvalues and oscillation conditions were further estimated. On this basis, the participation factors were introduced to observe the dominant factors that caused oscillations in each frequency band, optimized and adjusted the system parameters to change the distribution of system eigenvalues, destroyed the oscillation conditions, and thus suppressed oscillations. The system model was established and an example simulation analysis and verification were carried out on the Matlab software platform. The results indicate that the oscillation risk identification and suppression method can detect the wideband oscillation of the power system to its advantage, accurately identify the oscillation causes, and has a good ability to restrain and eliminate oscillation, further improving the whole closed-loop system damping and stability.
关键词
风力发电 /
光伏发电 /
电力系统 /
宽频振荡 /
识别与抑制 /
模式谐振
Key words
wind power /
PV power /
electric power systems /
circuit oscillations /
identification and suppression /
mode resonance
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基金
新疆可再生能源发电与并网技术自治区重点实验室开放课题（2020D04048）; 新疆维吾尔自治区新疆电力全过程仿真重点实验室奖补资金科技项目（DC30DK220001）; 国家重点研发计划（2021YFB1506902); 新疆维吾尔自治区重点研发计划2022B01003-3）
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