Due to the ever-increasing penetration of renewable energy sources, the estimation of network inertia is becoming a critical task for system operators. This operation is typically carried out by aggregating synchronized measurements acquired at different nodes. In this paper, instead, we investigate the feasibility of a local approach for inertia estimation. In this sense, PMU-based measurements of ROCOF and phasors are exploited to define a new indicator of inertia variations. A preliminary validation in realistic simulated scenarios confirms the proposed approach's potential.

Costa, F., Peretto, L., Frigo, G. (2023). PMU-Based Estimation of Inertia Variation: Proposed Metric and Feasibility Analysis. 345 E 47TH ST, NEW YORK, NY 10017 USA : IEEE [10.1109/I2MTC53148.2023.10176065].

PMU-Based Estimation of Inertia Variation: Proposed Metric and Feasibility Analysis

Costa, F;Peretto, L;
2023

Abstract

Due to the ever-increasing penetration of renewable energy sources, the estimation of network inertia is becoming a critical task for system operators. This operation is typically carried out by aggregating synchronized measurements acquired at different nodes. In this paper, instead, we investigate the feasibility of a local approach for inertia estimation. In this sense, PMU-based measurements of ROCOF and phasors are exploited to define a new indicator of inertia variations. A preliminary validation in realistic simulated scenarios confirms the proposed approach's potential.
2023
PMU-Based Estimation of Inertia Variation: Proposed Metric and Feasibility Analysis
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Costa, F., Peretto, L., Frigo, G. (2023). PMU-Based Estimation of Inertia Variation: Proposed Metric and Feasibility Analysis. 345 E 47TH ST, NEW YORK, NY 10017 USA : IEEE [10.1109/I2MTC53148.2023.10176065].
Costa, F; Peretto, L; Frigo, G
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/940485
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