Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

On SINDy Approach to Measure-based Detection of Nonlinear Energy Flows in Power Grids with High Penetration IBR-based Renewables

Version 1 : Received: 1 November 2023 / Approved: 1 November 2023 / Online: 1 November 2023 (17:22:36 CET)

A peer-reviewed article of this Preprint also exists.

Saeed Kandezy, R.; Jiang, J.; Wu, D. On SINDy Approach to Measure-Based Detection of Nonlinear Energy Flows in Power Grids with High Penetration Inverter-Based Renewables. Energies 2024, 17, 711. Saeed Kandezy, R.; Jiang, J.; Wu, D. On SINDy Approach to Measure-Based Detection of Nonlinear Energy Flows in Power Grids with High Penetration Inverter-Based Renewables. Energies 2024, 17, 711.

Abstract

The complexity of modern power grids, exacerbated by integrating diverse energy sources, espe-cially inverter-based resources (IBRs), presents a significant challenge to grid operation and plan-ning since linear models fail to capture the intricate IBR dynamics. This study employs the Sparse Identification of Nonlinear Dynamics (SINDy) method to bridge the gap between theoretical un-derstanding and practical implementation in power system analysis. It introduces the novel Volterra-based Nonlinearity Index (VNI) to examine system-level nonlinearity comprehensively. The distinction of dynamics into first-order linearizable terms, second-order nonlinear dynamics, and third-order noise elucidates the intricacy of power systems. The findings demonstrate a fundamental shift in system dynamics as power sources transit to IBRs, revealing system-level nonlinearity compared to module-level nonlinearity in conventional syn-chronous generators. The VNI quantifies nonlinear-to-linear relationships, enriching our comprehension of power system behavior and offering a versatile tool for distinguishing between different nonlinearities and visualizing their distinct patterns through the proposed VIN profile.

Keywords

Inverter-based resources; Measure-based method; Model identification; Non-linear dynamics; Power system; SINDy; Synchronous generators; System-level nonlinearity; Volterra-based nonlinearity index

Subject

Engineering, Electrical and Electronic Engineering

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