A Practical Approach Towards Inertia Estimation Using Ambient Synchrophasor Data

Real-time tracking of inertia is important because it reflects the power system's ability to withstand contingencies and maintain frequency security. This paper proposes a practical approach to estimate inertia using ambient phasor measurement unit (PMU) data and a partitioned form of the swing equation. The approach accounts for (bounded) uncertainties in network parameters and PMU measurements, enabling precise estimation of inertia and damping constants, as well as mechanical power inputs. Instead of assuming constant mechanical power input throughout, the approach leverages knowledge of power system operations to determine intervals when it is actually constant to maintain estimation consistency. Simulation results on the IEEE 14-bus system and IEEE 39 bus system integrated with renewable energy sources affirm the method's accuracy and applicability.

Publication Details

Journal
Maryland Shared Open Access Repository (USMAI Consortium)
Published
2025-05-05
DOI
https://doi.org/10.13016/m26uox-6yfy
Primary Topic
Power System Optimization and Stability
Type
article
Field-Weighted Citation Impact
0.00
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article

A Practical Approach Towards Inertia Estimation Using Ambient Synchrophasor Data

Maryland Shared Open Access Repository (USMAI Consortium)
Power System Optimization and Stability
article

A Practical Approach Towards Inertia Estimation Using Ambient Synchrophasor Data

article en

Abstract

Real-time tracking of inertia is important because it reflects the power system's ability to withstand contingencies and maintain frequency security. This paper proposes a practical approach to estimate inertia using ambient phasor measurement unit (PMU) data and a partitioned form of the swing equation. The approach accounts for (bounded) uncertainties in network parameters and PMU measurements, enabling precise estimation of inertia and damping constants, as well as mechanical power inputs. Instead of assuming constant mechanical power input throughout, the approach leverages knowledge of power system operations to determine intervals when it is actually constant to maintain estimation consistency. Simulation results on the IEEE 14-bus system and IEEE 39 bus system integrated with renewable energy sources affirm the method's accuracy and applicability.

Maryland Shared Open Access Repository (USMAI Consortium)
Affordable and clean energy
Openalex Percentile: Top 58%
Power System Optimization and Stability
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