Method of static stability dominant identification

Bibliographic Details
Title: Method of static stability dominant identification
Authors: Zhen Hu, Ting Cui, Yuanhang Dai, Daojun Chen, Dan Yang, Yating Li
Source: IET Generation, Transmission & Distribution, Vol 17, Iss 13, Pp 2895-2899 (2023)
Publisher Information: Wiley, 2023.
Publication Year: 2023
Collection: LCC:Production of electric energy or power. Powerplants. Central stations
Subject Terms: power markets, Power System Computation, power system protection, stability, voltage control, Distribution or transmission of electric power, TK3001-3521, Production of electric energy or power. Powerplants. Central stations, TK1001-1841
More Details: Abstract Two extreme cases of static stability are voltage stability and power angle stability. The general stability analysis only focuses on one of the voltage stability or power angle stability. The stability limit and state change are studied for a certain kind of stability characteristics. In this paper, the stability limits of static voltage and power angle are derived, respectively. Therefore, different stability characteristics and their interrelationships can be further studied. The index to judge the dominant stability characteristic is defined. The proposed index only needs the system wide‐area measurement information to quickly and accurately judge the dominant static stability characteristics. The dominant instability (DI) characteristic index proposed in this paper is equal to 1 or −1, which can help to quickly identify whether the power angle stability or voltage stability is dominant. The effectiveness of the method is proved by a simple system.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1751-8695
1751-8687
Relation: https://doaj.org/toc/1751-8687; https://doaj.org/toc/1751-8695
DOI: 10.1049/gtd2.12633
Access URL: https://doaj.org/article/db1b83b362384e29a156b2da425812ac
Accession Number: edsdoj.b1b83b362384e29a156b2da425812ac
Database: Directory of Open Access Journals
More Details
ISSN:17518695
17518687
DOI:10.1049/gtd2.12633
Published in:IET Generation, Transmission & Distribution
Language:English