Inertia Estimation of the GB Power System Using Synchrophasor Measurements

By P. Ashton, C. Saunders, G. Taylor, A. Carter, M. Bradley. IEEE Transactions on Power Systems, 2015

300 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/aa25768b18a55d6b32e7c2582bd72ff2b3453de3

How researchers see this paper

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In Artificial Intelligence

1. David John Hill
2. Florian Dörfler

In Electrical and Electronic Engineering

1. Gregor Verbic
2. Florian Dörfler
3. Gabriela Hug
4. David John Hill
5. Federico E. Milano
6. Rafael Zárate-Miñano
7. Claudio A. Cañizares
8. Vijay Vittal

Citations in the corpus

• Estimation of Power System Inertia From Ambient Wide Area Measurements (2018, unknown): “Inertia values of single units [15], [16], system areas [17], [18], and entire systems [19], [20] have been derived from PMU measurements of frequency events.”
• Foundations and Challenges of Low-Inertia Systems (Invited Paper) (2018, background): “2) Inertia Variability: The level of inertia present in the system at any point in time is heavily dependent on the generation mix dispatched for that particular day and time [32], [90], [91], e.”