Identification of Black-Box Inverter-Based Resource Control Using Hammerstein-Wiener Models

TL;DR

This paper presents a novel method for modeling inverter-based resources in power systems using Hammerstein-Wiener models, enabling better analysis of complex inverter controls from black-box data.

Contribution

It introduces a systematic approach for identifying three-phase inverter models with Hammerstein-Wiener models, facilitating analysis of black-box inverter control schemes.

Findings

Good identification results on generic inverter models

Effective simulation framework for model identification

Suitable evaluation metrics for model accuracy

Abstract

The development of more complex inverter-based resources (IBRs) control is becoming essential as a result of the growing share of renewable energy sources in power systems. Given the diverse range of control schemes, grid operators are typically provided with black-box models of IBRs from various equipment manufacturers. As such, they are integrated into simulation models of the entire power system for analysis, and due to their nature, they can only be simulated in the time domain. Other system analysis approaches, like eigenvalue analysis, cannot be applied, making the comprehensive analysis of defined systems more challenging. This work introduces an approach for identification of three-phase IBR models for grid-forming and grid-following inverters using Hammerstein-Wiener models. To this end, we define a simulation framework for the identification process, and select suitable evaluation metrics for the results. Finally, we evaluate the approach on generic grid-forming and grid-following inverter models showing good identification results.