Stability Region Analysis of Grid-Tied Voltage Sourced Converters Using Variable Operating Point Impedance Model
IEEE TRANSACTIONS ON POWER SYSTEMS（2023）
Tsinghua Univ
Abstract
The interactions between voltage-sourced converters (VSCs) and the grid may trigger unstable electromagnetic oscillations. Impedance model-based analysis is widely utilized for investigating such emerging stability issues, mainly due to its capability to model black/gray-box VSC-based devices without complete knowledge of their internal control structures and parameters. It is well known that the characteristics of the triggered oscillation are determined by the operating conditions. However, most of the existing impedance-based methods are operating point specific, i.e., the impedance model of VSC-based devices has to be re-measured upon variations in the operating point. Thus, it is quite cumbersome and hectic to reconstruct the impedance model of a VSC-based device for all possible operating points and establish a stable or unstable region. This paper develops a novel method to determine the oscillatory stability region of a grid-tied VSC. First, a variable-operating point impedance model (VOPIM) of a VSC is derived. Next, the VOPIM is used to determine the frequency and damping of the oscillation modes for varying operating points. Finally, the oscillatory stability region is determined according to the damping of each oscillation mode. The accuracy of the oscillatory stability region and the effectiveness of the proposed method is verified through time-domain electromagnetic simulations.
MoreTranslated text
Key words
Power system stability,Impedance,Analytical models,Oscillators,Stability criteria,Power conversion,Phase locked loops,Operating point,impedance model,stability analysis,voltage sourced converter (VSC)
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined