计及LVRT影响的新能源电力系统中感应电动机动态分群

doi:10.19595/j.cnki.1000-6753.tces.230054

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摘要

随着新能源的大规模广泛并网,其对感应电动机动态等值建模的影响值得关注。本文提出了新能源电力系统中感应电动机动态分群新方法。首先分析了感应电动机与电网的交互作用,提出在现有基于感应电动机动态相似性分群的基础上,同时考虑机端电压动态相似性的分群可提高感应电动机动态等值的精度。针对高比例新能源电力系统,研究发现感应电动机附近有新能源机组,且部分新能源在故障期间进入低电压穿越（LVRT）时,这些感应电动机动态特性具有显著差异。为此提出新能源电力系统中考虑感应电动机端口电压跌落深度的动态分群方法。算例分析表明本文提出的兼顾感应电动机端口电压动态相似性以及端口电压跌落深度的分群方法具有较高的等值精度,且适应性强。

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关键词 ：感应电动机, 动态等值, 新能源电力系统, 动态相似性, 低电压穿越

Abstract：

With the continuous integration of large-scale of renewable energy, a high share of renewable energy is the main feature of the modern power systems. Since the converter controller of renewable generation has nonlinear modules such as current limiting and switching actions, the dynamic characteristics of the induction motor in the near area will be influenced by them. Therefore when there are a large number of renewable generation in the near area of the induction motor, the dynamic interaction between the renewable energy and the induction motor needs to be considered. However, there are few research on the impact of renewable generation on induction motor equivalent modeling presently. To address this issue, this paper presents a new dynamic clustering method of induction motors in power systems with a high share of renewable energy.
Firstly, the interaction between induction motor and power grid is analyzed, which shows that the power system interacts with the induction motor through its terminal voltage. Therefore, considering terminal voltage disturbed trajectories can improve the accuracy of equivalent model. The group-average method is used to quantify the similarity of terminal voltage fluctuation, and the similarity distance is applied to group the induction motors. Based on this, the clustering method that both considers the small disturbance dynamic similarity of induction motor and the dynamic similarity of the terminal voltage is proposed. The ultimate clustering result is obtained by dividing the intersection of the clustering results obtained by the two methods into a new group and the rest into a new group.
For the power systems with a high share of new energy, it is found that when there are renewable energy near the induction motors in the same cluster, and some of these renewable energy enters into the low voltage ride through (LVRT) during the fault, the dynamic characteristics of the induction motors in the same group will have significant differences. Therefore, a dynamic clustering method considering the voltage drop depth of induction motor is proposed. Therefore, the paper proposes the clustering method for induction motors, which combining of three factors of 1) the small disturbance dynamic similarity of induction motor, 2) the dynamic similarity of terminal voltage and 3) the clustering results of terminal voltage drop depth. Based on the clustering results obtained by these three methods, the intersection is divided into a new group, and the rest are divided into a new group respectively to obtain the final clustering results.
Based on the obtained clustering results of the induction motors, the power network is simplified according to the synchronous generator coherency-based equivalent method]. The parameters of induction motor are aggregated by weighted average of each individual motor. Finally, the dynamic equivalence process of induction motors is elaborated by integrating the steps of motor clustering, parameter aggregation and power network simplification.
The following conclusions can be drawn from the 10-machine 39 node New England simulation system and the real power grid of Central Tibet: 1) Compared with classical clustering method based on the small disturbance dynamic similarity of induction motor, further considers the dynamic similarity of the terminal voltage can improve the dynamical equivalent accuracy of induction motors. 2)For the power system with high proportion of photovoltaic power supply, it is found that when there is photovoltaic power near the induction motor in the same group, and some of these photovoltaic power enters the LVRT state, the effects of the renewable energy on the dynamics of induction motors should be included. Therefore, the clustering method by further considers the terminal voltage drop depth can improve the equivalent accuracy of induction motors. 3) The feasibility and adaptability of the modeling method proposed in this paper are illustrated by analyzing the errors of the equivalent models under different disturbances.

Key words： Induction motor dynamic equivalence new energy power system dynamic similarity low voltage ride through (LVRT)

收稿日期: 2023-01-13

PACS:

TM614

基金资助:

国家自然科学基金资助项目（52077061）

通讯作者: 潘学萍女,1972年生,教授,博士生导师,研究方向为新能源电力系统建模与分析。E-mail: xueping_pan @163.com

作者简介: 王卫康男,硕士研究生,研究方向为新能源发电系统建模。E-mail：1414168268@qq.com.

引用本文:

潘学萍, 王卫康, 陈海东, 孙晓荣, 郭金鹏. 计及LVRT影响的新能源电力系统中感应电动机动态分群[J]. 电工技术学报, 0, (): 140-140. Pan Xueping, Wang Weikang, Chen Haidong, Sun Xiaorong, Guo Jinpeng. Study of Dynamic Clustering Method for Induction Motors in Renewable Energy Power Systems Considering LVRT Effects. Transactions of China Electrotechnical Society, 0, (): 140-140.

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