Work

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

Year: 2025

Type: article

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.

Source: International Journal of Electrical Power & Energy Systems

DOI: 10.1016/j.ijepes.2025.111068

Authors: Deokki You, Sungwoo Kang, Gilsoo Jang, Seungmin Jung

Institutions: Korea University, Korea Railroad Research Institute, University of Seoul

Language: English

Topic: Wind Turbine Control Systems

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

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

Open Access status: gold

Estimated APC paid: $3,920