Work

Automated Residue Extraction for Modal Analysis in Power Systems Using DIgSILENT PowerFactory

Year: 2025

Type: article

Abstract: Modal analysis is essential for evaluating the small-signal stability of power systems by identifying poorly damped oscillatory modes. This paper introduces an automated framework for residue computation directly within DIgSILENT PowerFactory, exploiting its internal state-space matrices and scripting environment. Unlike traditional approaches that rely on external data processing, the proposed method enables a fully integrated, repeatable, and scalable workflow for residue-guided control design. The framework automatically extracts and computes modal residues, quantifying both controllability and observability to identify the most effective control locations. Its application to benchmark systems demonstrates accurate detection of critical modes and effective damping enhancement through residue-based tuning. This integration of automated residue analysis into PowerFactory bridges theoretical modal analysis with practical implementation, offering a novel and efficient tool for oscillatory stability assessment in modern power grids.

Source: Energies

DOI: 10.3390/en18215762

Authors: José Oscullo Lala, Luis Salazar, Nathaly Orozco Garzón, Henry Carvajal Mora, José Vega-Sánchez, Takaaki Ohishi

Institutions: National Polytechnic School, Universidad de Las Américas, Universidad San Francisco de Quito, Universidade Estadual de Campinas (UNICAMP)

Language: English

Topic: Power System Optimization and Stability

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: gold

Estimated APC paid: $3,137