Design and Performance Verification of a Renewable Energy Plant Controller for Compliance with the Korean Grid Code

This paper introduces a novel farm-level controller designed to ensure stable and compliant grid integration for large-scale renewable energy power plants under Korea Electric Power Corporation (KEPCO) Technical Connection Code. In renewable farms operating without a plant controller, the uncoordinated control of individual generators, combined with internal cable impedances, creates challenges in managing voltage and reactive power at the Point of Measurement (POM), thus hindering KEPCO compliance. To address this, our proposed controller directly monitors POM conditions and coordinates turbine output through three functions: dynamic operation mode determination, precise active/reactive power setpoint calculation, and intelligent weighting factor distribution. PSCAD/EMTDC simulations of offshore wind farms confirm its effectiveness. The controller successfully met all KEPCO reactive power standards, including supply capability, output control, power factor, and voltage-reactive power control, which individual generator control could not achieve. Furthermore, fault ride-through simulations, utilizing a proposed current limitation, demonstrated robust grid support via preferential reactive current injection for voltage recovery. A STATCOM capacity assessment was also conducted. Ultimately, this farm-level controller significantly enhances reactive power control, vital for grid stabilization, and validates its adherence to KEPCO's stringent technical criteria.

Authors

Publication Details

Journal
The Transactions of The Korean Institute of Electrical Engineers
Published
2026-03-13
DOI
https://doi.org/10.5370/kiee.2026.75.3.460
Primary Topic
Internet of Things and Social Network Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Performance Verification of a Renewable Energy Plant Controller for Compliance with the Korean Grid Code

Jae-Woong Shim, JaeYoung Yang, NamKyu Kim, YoungJin Kwon et al.
The Transactions of The Korean Institute of Electrical Engineers
Internet of Things and Social Network Interactions
article

Design and Performance Verification of a Renewable Energy Plant Controller for Compliance with the Korean Grid Code

Jae-Woong Shim, JaeYoung Yang, NamKyu Kim, YoungJin Kwon, Dong-Yoon Lee, JooYong Jung, Hyo Lee
article en

Abstract

This paper introduces a novel farm-level controller designed to ensure stable and compliant grid integration for large-scale renewable energy power plants under Korea Electric Power Corporation (KEPCO) Technical Connection Code. In renewable farms operating without a plant controller, the uncoordinated control of individual generators, combined with internal cable impedances, creates challenges in managing voltage and reactive power at the Point of Measurement (POM), thus hindering KEPCO compliance. To address this, our proposed controller directly monitors POM conditions and coordinates turbine output through three functions: dynamic operation mode determination, precise active/reactive power setpoint calculation, and intelligent weighting factor distribution. PSCAD/EMTDC simulations of offshore wind farms confirm its effectiveness. The controller successfully met all KEPCO reactive power standards, including supply capability, output control, power factor, and voltage-reactive power control, which individual generator control could not achieve. Furthermore, fault ride-through simulations, utilizing a proposed current limitation, demonstrated robust grid support via preferential reactive current injection for voltage recovery. A STATCOM capacity assessment was also conducted. Ultimately, this farm-level controller significantly enhances reactive power control, vital for grid stabilization, and validates its adherence to KEPCO's stringent technical criteria.

The Transactions of The Korean Institute of Electrical EngineersVol. 75(3)
Affordable and clean energy
Openalex Percentile: Top 32%
Internet of Things and Social Network Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.