Open AccessPractical short‐term voltage stability index based on voltage curves: definition, verification and case studies
Author(s) -
Zhao Wenlu,
Guo Qinglai,
Sun Hongbin,
Ge Huaichang,
Li Haifeng
Publication year - 2018
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2018.5725
Subject(s) - electric power system , term (time) , voltage , control theory (sociology) , computer science , power (physics) , electric power transmission , voltage optimisation , index (typography) , ac power , reliability engineering , engineering , control (management) , electrical engineering , artificial intelligence , physics , world wide web , quantum mechanics
Short‐term voltage stability (SVS) is a serious issue in modern power systems. In China, the East China Power Network is especially vulnerable to short‐term voltage instability due to its increasing dependence on electrical power from external through high‐voltage direct current (HVDC) transmission lines. To study the SVS, a criterion/index is first required to evaluate the SVS of power systems. However, the currently used practical criteria cannot effectively evaluate the influence of controlling strategies (such as regulating dynamic VAR reservation) of power systems. Therefore, a practical and continuous SVS index (SVSI) based on voltage curves is proposed in this study. The proposed SVSI can quantify the extent of SVS in power systems, thus can be used in the optimisation target of preventive control for improving the SVS of power systems. Moreover, the SVSI consists of three components, and each component reflects a feature of the voltage curve in terms of SVS. The SVSI is essentially a model‐free method for assessing the SVS of power systems, so it is robust. Three verifying cases and one application case are presented to show the validity of the SVSI and the feasibility of the SVSI in practical applications.