A new approach to the online estimation of the loss of generation size in power systems

Rasoul Azizipanah-Abarghooee, Mostafa Malekpour, Mario Paolone, Vladimir Terzija

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

Following an unintended disconnection of a synchronous generator from the power system, what is also known as a loss of generation (LoG), it is not trivial to precisely estimate the post-event power system's inertia and the LoG size. One of the reasons for that is that both of them are a function of the unknown inertia reduction. To solve this challenging problem, this paper presents an analytical method based on the rate-of-change-of-frequency (RoCoF). The method relies on a modified swing equation, allowing a simultaneous estimation of both unknowns. To this end, the values of mechanical starting time, apparent power, and loading of lost generator are formulated for the power system under study. In a practical application, the method can use RoCoF measured by phasor measurement units. The paper discusses the impact of various frequency estimation approaches to the proposed LoG estimation. Furthermore, a new method for LoG size estimation, based on the interpolated estimated inertial response, is proposed. The efficiency of the proposed approach is validated through extensive simulations with Matlab/Simulink using a simple power system and the IEEE 39-bus test network.

Original languageEnglish
Article number8521679
Pages (from-to)2103-2113
Number of pages11
JournalIEEE Transactions on Power Systems
Volume34
Issue number3
DOIs
Publication statusPublished - May 2019
Externally publishedYes

Keywords

  • Inertia
  • Loss of generation (log)
  • Power imbalance estimation
  • Rate-of-change-of-frequency
  • Swing equation

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