Scalable var control for loss-minimization in arbitrary wind farm layouts

Recent wind farm management system (WFMS) applications with hierarchical reactive power control provide a real-time solution to compute an objective function for a subclass of voltage management. According to the current power converter control scheme, they can be implemented in the control process independently in a modularized form. This study focuses on hierarchical voltage and reactive power control in wind farms, which is suitable for implementation across diverse wind farm configurations. It provides a real-time solution that computes an objective function specific to a voltage management technique. Unlike previous literature that integrates multiple factors into a unified solution, this study presents a modularized approach, allowing the incorporation of each component separately into the control process. Historically, management solutions heavily relied on servers according to pre-designed code, while a WFMS typically consists of a server that can flexibly change operational modes according to pre-designed code to perform real-time actions. However, this work presents a flexible modular system that can operate independently. The proposed approach can be readily applied to a hierarchical solution prioritizing control over reactive power consumption. • The paper presents an approach to composing the modular system providing flexibility. • The proposed method enables real-time computation of an objective function for voltage management. • A modular control system is introduced, allowing flexible integration of individual components. • Unlike conventional solution, it operates independently without pre-coded dependencies.

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Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2025-09-30
DOI
https://doi.org/10.1016/j.ijepes.2025.111068
Citations
1
Primary Topic
Wind Turbine Control Systems
Type
article
Field-Weighted Citation Impact
0.73
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article

Scalable var control for loss-minimization in arbitrary wind farm layouts

Seungmin Jung, Sungwoo Kang, Gilsoo Jang, Donggeun You
1 citations
International Journal of Electrical Power & Energy Systems
Wind Turbine Control Systems
0.73
article

Scalable var control for loss-minimization in arbitrary wind farm layouts

Seungmin Jung, Sungwoo Kang, Gilsoo Jang, Donggeun You
article en
1 citations

Abstract

Recent wind farm management system (WFMS) applications with hierarchical reactive power control provide a real-time solution to compute an objective function for a subclass of voltage management. According to the current power converter control scheme, they can be implemented in the control process independently in a modularized form. This study focuses on hierarchical voltage and reactive power control in wind farms, which is suitable for implementation across diverse wind farm configurations. It provides a real-time solution that computes an objective function specific to a voltage management technique. Unlike previous literature that integrates multiple factors into a unified solution, this study presents a modularized approach, allowing the incorporation of each component separately into the control process. Historically, management solutions heavily relied on servers according to pre-designed code, while a WFMS typically consists of a server that can flexibly change operational modes according to pre-designed code to perform real-time actions. However, this work presents a flexible modular system that can operate independently. The proposed approach can be readily applied to a hierarchical solution prioritizing control over reactive power consumption. • The paper presents an approach to composing the modular system providing flexibility. • The proposed method enables real-time computation of an objective function for voltage management. • A modular control system is introduced, allowing flexible integration of individual components. • Unlike conventional solution, it operates independently without pre-coded dependencies.

International Journal of Electrical Power & Energy SystemsVol. 172
University of Seoul (KR), Korea University (KR), Korea Railroad Research Institute (KR)
Openalex Percentile: Top 23%
Wind Turbine Control Systems
0.73
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Scalable var control for loss-minimization in arbitrary wind farm layouts — Seungmin Jung, Sungwoo Kang, et al. · International Journal of Electrical Power & Energy Systems (2025) | TGRS Research Map | TGRS