Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ 电力工程技术arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
电力工程技术
Article . 2023
Data sources: DOAJ
addClaim

Inertia estimation of new energy power system with virtual inertia response of wind power

Authors: LI Shichun; SONG Qiushuang; XUE Zhenyao; DENG Rui;

Inertia estimation of new energy power system with virtual inertia response of wind power

Abstract

The accurate estimation of inertia is the premise of analyzing the security and stability of the system frequency, but the existing methods can not quantitatively evaluate the effect of virtual inertia on the equivalent inertia of the power system. In view of this, an inertia estimation method of power system with virtual inertia response of wind power is proposed. Firstly, the theoretical expression of equivalent inertia of power system including virtual inertia response of wind power is derived. Secondly, the phasor measurement unit (PMU) is used to obtain the active power and frequency data at the node of the power generation device. Thirdly, the active power output of the power generation device is taken as the input of the identification model, and the frequency disturbance is taken as the output. Using controlled autoregressive (CAR) model and time-varying forgetting factor recursive least squares (TFF-RLS) algorithm evaluated the equivalent inertia of the whole network under different wind power proportions. Finally, the feasibility and applicability of the proposed method are verified by an improved IEEE-10-machine 39-node system. Compared with the traditional identification method, the accuracy of the inertia estimation of the proposed method is improved, and it is suitable for the time-varying inertia estimation of the new energy power system.

Keywords

new energy power system, TK4001-4102, virtual inertial control, inertia estimation, Applications of electric power, high penetration wind power system, frequency stability, time-varying parameter identification

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold