Abstract

The increasing and fast deployment of distributed generation is posing challenges to the operation and control of power systems due to the resulting reduction in the overall system rotational inertia and damping. Therefore, it becomes quite crucial for the transmission system operator to monitor the varying system inertia and damping in order to take proper actions to maintain the system stability. This paper presents an inertia estimation algorithm for low-inertia systems to estimate the inertia (both mechanical and virtual) and damping of systems with mixed generation resources and/or the resource itself. Moreover, the effect of high penetration of distributed energy resources and the resulting heterogeneous distribution of inertia on the overall system inertia estimation is investigated. A comprehensive set of case studies and scenarios of the IEEE 39-bus system provides results to demonstrate the performance of the proposed estimator.

Highlights

  • Introduction for Power Systems with HighTraditionally, the operation of power systems is based on rotating Synchronous Generators (SGs)

  • This paper introduces anan inertia andand damping estimation approach for power systems

  • This paper introduces inertia damping estimation approach for power syswith mixed generation

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Summary

Introduction for Power Systems with High

The operation of power systems is based on rotating Synchronous Generators (SGs). In [11], an estimation method has been proposed to estimate the effective inertia, which includes the equivalent inertia of converter-interfaced generation coupled to FFR, of power systems with high penetration levels of wind turbines This approach requires the accurate detection of the disturbance and the angular swing first peak. To address the above concerns, this paper presents a novel method for the online estimation of power system inertia and damping, including both mechanical and virtual inertia This method captures the effect of load damping and fast frequency control contributions and provides improved accuracy with respect to the literature and does not require the knowledge of the PFC parameters.

System Frequency Dynamics
Synchronous Generators Dynamics
Frequency Dynamics of Grid-Forming Converter-Interfaced Generation
Aggregated Frequency Dynamics
Parameterization and Regression
Simulation-Based Analysis
Case Study I
II: II: Effect of of Heterogeneity onon thethe
Findings
System Inertia Estimation with Mixed Generation
Conclusions

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