Dynamic PI Control Approach for AGC Under Power System Splitting

This study proposes a dynamic control approach for Automatic Generation Control (AGC) that operates effectively under both normal conditions and power system splitting scenarios. The proposed AGC employs a PI controller with a dynamically adjusted integrator gain, which varies based on the difference between the Area Control Error (ACE) and the Area Control Signal (ACS) in each control cycle. By incorporating an online splitting detection method utilizing real-time frequency measurements from all generating units, this approach enhances operational flexibility, ensures uninterrupted AGC functionality during system splitting, and improves control performance through dynamic adaptation. The proposed methodology is validated using software-in-the-loop (SIL) simulations on both the IEEE 9-bus test system and a simplified model of the Turkish transmission system.

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Publication Details

Published
2025-05-20
DOI
https://doi.org/10.1109/cpe-powereng63314.2025.11027234
Primary Topic
Frequency Control in Power Systems
Type
article
Field-Weighted Citation Impact
0.00

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Controls
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article

Dynamic PI Control Approach for AGC Under Power System Splitting

Armağan Temiz, Ali Güven
Frequency Control in Power Systems
article

Dynamic PI Control Approach for AGC Under Power System Splitting

Armağan Temiz, Ali Güven
article en

Abstract

This study proposes a dynamic control approach for Automatic Generation Control (AGC) that operates effectively under both normal conditions and power system splitting scenarios. The proposed AGC employs a PI controller with a dynamically adjusted integrator gain, which varies based on the difference between the Area Control Error (ACE) and the Area Control Signal (ACS) in each control cycle. By incorporating an online splitting detection method utilizing real-time frequency measurements from all generating units, this approach enhances operational flexibility, ensures uninterrupted AGC functionality during system splitting, and improves control performance through dynamic adaptation. The proposed methodology is validated using software-in-the-loop (SIL) simulations on both the IEEE 9-bus test system and a simplified model of the Turkish transmission system.

TED University (TR), Aselsan (Turkey) (TR)
ASELSAN
Affordable and clean energy
Openalex Percentile: Top 88%
Frequency Control in Power Systems
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