Voltage Stability Control Based on Angular Indexes from Stationary Analysis

    Research output: Contribution to journalArticle in an indexed scientific journalpeer-review

    3 Scopus citations

    Abstract

    This paper presents a novel methodology for the calculation of angular indexes of an electrical system from stationary analysis, using load flow and nose curves (P–V) in each of the buses of the system to perform control actions and preserve or improve voltage stability. The control actions are proposed considering a novel method based on the concepts of the cutset angle (CA) and center of angle (COA). The target is a fast estimation of voltage-stability margins through an appropriate angular characterization of the whole system and for each load bus with a complete network and N-1 contingency criteria. The most significant enhancement is that the angular characterization is based on the COA, which is related to the angular dynamics of the system, and indirectly reflects the inertia and the respective angles of the generator rotor, as well as the impact on the angular equivalent-system model. Simulations showed that the COA is an important index to determine the location of occurrence of the events. The COA can also help aim where control actions, like the amount of load shedding, should be carried out to remedy the voltage problems. The proposed method is assessed and tested in the benchmark IEEE 39-bus system.

    Original languageEnglish
    Article number7255
    JournalEnergies
    Volume15
    Issue number19
    DOIs
    StatePublished - Oct 2022

    Bibliographical note

    Publisher Copyright:
    © 2022 by the authors.

    Keywords

    • IEEE 39-bus system
    • PMU
    • angular characterization
    • angular index
    • center of angle
    • cutset angle
    • load flow
    • power-system stability
    • synchrophasor
    • voltage stability

    Types Minciencias

    • Artículos de investigación con calidad A1 / Q1

    Fingerprint

    Dive into the research topics of 'Voltage Stability Control Based on Angular Indexes from Stationary Analysis'. Together they form a unique fingerprint.

    Cite this