RMS Modeling and Control of a Grid-Forming E-STATCOM for Power System Stability in Isolated Grids

This paper presents a comprehensive RMS-based phasorial model of an E-STATCOM with grid-forming (GFM) control, designed to improve power system stability in isolated grids. Unlike previous approaches, this model integrates a governor with an internal power system stabilizer (PSS) and an active current limiter (ACL) to enhance frequency regulation and mitigate oscillations. Additionally, an exciter with a nonlinear modulation function is introduced to optimize voltage regulation and reactive power support. A detailed conventional supercapacitor (SC) model is also incorporated, enabling dynamic DC-voltage control based on active power variations, improving frequency stability. The proposed E-STATCOM RMS model includes algebraic equations, dynamic governor and exciter models, supercapacitor-based energy storage control, and an advanced current-limiting strategy. Simulations are conducted on the Fuerteventura–Lanzarote (Canary Islands, Spain) power system, comparing the E-STATCOM with a synchronous condenser (SynCon) in frequency response, voltage regulation, and fault performance. The results show that the E-STATCOM improves frequency stabilization and energy efficiency while complying with grid codes. This study introduces a novel RMS-based modeling approach for GFM E-STATCOMs, bridging the gap between theoretical phasorial analysis and real-world applications. The findings confirm that E-STATCOMs are a viable alternative to SynCons, enhancing grid stability in high-renewable-penetration systems.

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Publication Details

Journal
Applied Sciences
Published
2025-03-11
DOI
https://doi.org/10.3390/app15063014
Citations
7
Primary Topic
Power System Optimization and Stability
Type
article
Field-Weighted Citation Impact
5.11
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article

RMS Modeling and Control of a Grid-Forming E-STATCOM for Power System Stability in Isolated Grids

Francisco Arredondo, Santiago Arnaltes, Miguel Montilla-DJesus, José Luis Rodríguez-Amenedo
7 citations
Applied Sciences
Power System Optimization and Stability
5.11
article

RMS Modeling and Control of a Grid-Forming E-STATCOM for Power System Stability in Isolated Grids

Francisco Arredondo, Santiago Arnaltes, Miguel Montilla-DJesus, José Luis Rodríguez-Amenedo
article en
7 citations

Abstract

This paper presents a comprehensive RMS-based phasorial model of an E-STATCOM with grid-forming (GFM) control, designed to improve power system stability in isolated grids. Unlike previous approaches, this model integrates a governor with an internal power system stabilizer (PSS) and an active current limiter (ACL) to enhance frequency regulation and mitigate oscillations. Additionally, an exciter with a nonlinear modulation function is introduced to optimize voltage regulation and reactive power support. A detailed conventional supercapacitor (SC) model is also incorporated, enabling dynamic DC-voltage control based on active power variations, improving frequency stability. The proposed E-STATCOM RMS model includes algebraic equations, dynamic governor and exciter models, supercapacitor-based energy storage control, and an advanced current-limiting strategy. Simulations are conducted on the Fuerteventura–Lanzarote (Canary Islands, Spain) power system, comparing the E-STATCOM with a synchronous condenser (SynCon) in frequency response, voltage regulation, and fault performance. The results show that the E-STATCOM improves frequency stabilization and energy efficiency while complying with grid codes. This study introduces a novel RMS-based modeling approach for GFM E-STATCOMs, bridging the gap between theoretical phasorial analysis and real-world applications. The findings confirm that E-STATCOMs are a viable alternative to SynCons, enhancing grid stability in high-renewable-penetration systems.

Applied SciencesVol. 15(6)
Universidad Carlos III de Madrid (ES)
Openalex Percentile: Top 5%
Power System Optimization and Stability
5.11
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RMS Modeling and Control of a Grid-Forming E-STATCOM for Power System Stability in Isolated Grids — Francisco Arredondo, Santiago Arnaltes, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS