Open AccessVoltage Stability of Power System using PV Curve and PMU data
Author(s) -
Ashwin N*,
J Sreedevi,
Pradipkumar Dixit,
K S Meera
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c6227.098319
Subject(s) - phasor measurement unit , electric power system , phasor , voltage , stability (learning theory) , control theory (sociology) , units of measurement , power (physics) , computer science , engineering , electrical engineering , physics , control (management) , quantum mechanics , machine learning , artificial intelligence
This paper describes a voltage stability indicator that can be used to determine the proximity to system collapse by power system operators. The proposed PV curve method to determine voltage instability is compared with the existing voltage collapse proximity index (VCPI). VCPI is indicative of critical transmission lines whereas the PV curve analysis is indicative of critical buses. Phasor Measurement Unit (PMU) data facilitates in quick calculation and presentation of the indices to the system operators. The drawbacks of VCPI and how PV curve method is better than VCPI are presented. The simulations have been carried out in Real Time Digital Simulator (RTDSTM) using the New England IEEE 39 bus system. The indices accurately quantify the closeness of the power system towards instability. A slope monitoring method has been used to take restorative actions for the system to return to secure operating conditions.