Accurate Reduced-Order Models for Heterogeneous Coherent Generators

TL;DR

This paper presents a new framework for creating accurate reduced-order models to approximate the frequency dynamics of heterogeneous coherent generators, improving upon existing aggregation methods.

Contribution

It introduces a hierarchy of reduced-order models based on dynamics concentration and frequency weighted balanced truncation, enhancing approximation accuracy.

Findings

Hierarchy of models outperforms existing techniques

Improved accuracy in aggregate system response

Leverages recent results on network dynamics concentration

Abstract

We introduce a novel framework to approximate the aggregate frequency dynamics of coherent generators. By leveraging recent results on dynamics concentration of tightly connected networks, and frequency weighted balanced truncation, a hierarchy of reduced-order models is developed. This hierarchy provides increasing accuracy in the approximation of the aggregate system response, outperforming existing aggregation techniques.