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

José Oscullo Lala, Luis Salazar, Nathaly Orozco Garzón (), Henry Carvajal Mora, José Vega-Sánchez and Takaaki Ohishi
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José Oscullo Lala: Department of Energy, National Polytechnic School, Quito 170525, Ecuador
Luis Salazar: Department of Energy, National Polytechnic School, Quito 170525, Ecuador
Nathaly Orozco Garzón: ETEL Research Group, Faculty of Engineering and Applied Sciences, Networking and Telecommunications Engineering, Universidad de Las Américas (UDLA), Quito 170503, Ecuador
Henry Carvajal Mora: Colegio de Ciencias e Ingenierías “El Politécnico”, Universidad San Francisco de Quito USFQ, Diego de Robles S/N, Quito 170157, Ecuador
José Vega-Sánchez: Colegio de Ciencias e Ingenierías “El Politécnico”, Universidad San Francisco de Quito USFQ, Diego de Robles S/N, Quito 170157, Ecuador
Takaaki Ohishi: School of Electrical and Computer Engineering, University of Campinas (UNICAMP), Campinas 13083-852, Brazil

Energies, 2025, vol. 18, issue 21, 1-25

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.

Keywords: electromechanical oscillations; small-signal stability; power system modal analysis; DIgSILENT PowerFactory; residue analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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