TY - JOUR
T1 - Online assessment of voltage stability using Newton-Corrector algorithm
AU - Ali, Mazhar
AU - Gryazina, Elena
AU - Khamisov, Oleg
AU - Sayfutdinov, Timur
N1 - Publisher Copyright:
© 2020 Institution of Engineering and Technology. All rights reserved.
PY - 2020/10/2
Y1 - 2020/10/2
N2 - The real-Time robust and secure operation of power systems has become a challenging task, as the operating state evolves rapidly due to uncertainties associated with increasing renewable generation, less predictable loads, and various forms of contingencies. Therefore, an online voltage stability assessment is required to avoid any undesirable system behaviours or a large-scale blackout. Such evaluation is not just difficult but also computationally intensive mainly due to the continuously changing state of a grid. This study presents a numerically robust and fast algorithm for online voltage stability assessment with ease of implementation and programming. The proposed approach updates distance of voltage collapse in real-Time by incorporating base-case collapse point solution and incoming data from measurement devices. Implementation of the proposed algorithm is described in detail, and its performance is validated on different IEEE test cases.
AB - The real-Time robust and secure operation of power systems has become a challenging task, as the operating state evolves rapidly due to uncertainties associated with increasing renewable generation, less predictable loads, and various forms of contingencies. Therefore, an online voltage stability assessment is required to avoid any undesirable system behaviours or a large-scale blackout. Such evaluation is not just difficult but also computationally intensive mainly due to the continuously changing state of a grid. This study presents a numerically robust and fast algorithm for online voltage stability assessment with ease of implementation and programming. The proposed approach updates distance of voltage collapse in real-Time by incorporating base-case collapse point solution and incoming data from measurement devices. Implementation of the proposed algorithm is described in detail, and its performance is validated on different IEEE test cases.
UR - http://www.scopus.com/inward/record.url?scp=85091468994&partnerID=8YFLogxK
U2 - 10.1049/iet-gtd.2019.1200
DO - 10.1049/iet-gtd.2019.1200
M3 - Article
AN - SCOPUS:85091468994
SN - 1751-8687
VL - 14
SP - 4207
EP - 4216
JO - IET Generation, Transmission and Distribution
JF - IET Generation, Transmission and Distribution
IS - 19
ER -