Study of Dynamic Clustering Method for Induction Motors Considering Low Voltage Ride Through Effects

被引：0

作者：

Pan X. ^{[1
]}

Wang W. ^{[1
]}

Chen H. ^{[1
]}

Sun X. ^{[1
]}

Guo J. ^{[1
]}

机构：

[1] College of Energy and Electrical Engineering, Hoahi University, Nanjing

来源：

Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2024年 / 39卷 / 07期

关键词：

adaptive weight coefficient; Multi thermal power-energy storage system; multi-objective genetic algorithm(MOGA); secondary frequency modulation; two-layer optimal control;

D O I：

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

中图分类号：

学科分类号：

摘要：

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. Secondly, the dual level optimization model for frequency regulation power proposed in this article can improve the overall frequency regulation economy of the regional power grid. Compared with the capacity proportion allocation strategy, the frequency regulation cost of thermal power units is reduced by 3.00%, and the unit wear is also slightly reduced; Compared to the proportional allocation strategy, the overall unit energy consumption cost of energy storage plants has been reduced by 3.6%. Finally, the frequency modulation power allocation model proposed in this article can coordinate the frequency modulation cost and SOC recovery of each energy storage station. On the basis of reducing the overall frequency regulation cost, the SOC maintenance effect of each energy storage station is 34.78% better than the proportional allocation strategy; The overall SOC balance effect of multiple energy storage power stations is 52.69% better than the proportional allocation strategy. © 2024 China Machine Press. All rights reserved.

引用

页码：2001 / 2016and2032

共 19 条

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