Enhancing Automatic Generation Control of a Multi-Area Thermal System via TCPS and SMES

he power systems are widely interconnected for its applicability all over the globe. Interconnection not only enhances system reliability but also improves the system efficiency. Since the system is wide and complex, for the faithful operation, the analysis of the system is of greater importance. Frequency deviations and inter-area tie-power fluctuations from scheduled values after a local load disturbance present a significant challenge in interconnected power systems. Two methods are proposed to minimize these deviations, enhancing the Automatic Generation Control (AGC) in interconnected systems. This includes integrating a Thyristor Controlled Phase Shifter (TCPS) and a Superconducting Magnetic Energy Storage (SMES) system with Fuzzy Gain Scheduling (FGS), along with a supplementary controller to improve Load Frequency Control (LFC). The current work explores the coordinated use of SMES and TCPS for AGC in a two-area interconnected thermal power system, modeled using MATLAB/SIMULINK.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-01
DOI
https://doi.org/10.5281/zenodo.17246340
Primary Topic
Natural Language Processing Techniques
Type
article
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article

Enhancing Automatic Generation Control of a Multi-Area Thermal System via TCPS and SMES

Zenodo (CERN European Organization for Nuclear Research)
Natural Language Processing Techniques
article

Enhancing Automatic Generation Control of a Multi-Area Thermal System via TCPS and SMES

article en

Abstract

he power systems are widely interconnected for its applicability all over the globe. Interconnection not only enhances system reliability but also improves the system efficiency. Since the system is wide and complex, for the faithful operation, the analysis of the system is of greater importance. Frequency deviations and inter-area tie-power fluctuations from scheduled values after a local load disturbance present a significant challenge in interconnected power systems. Two methods are proposed to minimize these deviations, enhancing the Automatic Generation Control (AGC) in interconnected systems. This includes integrating a Thyristor Controlled Phase Shifter (TCPS) and a Superconducting Magnetic Energy Storage (SMES) system with Fuzzy Gain Scheduling (FGS), along with a supplementary controller to improve Load Frequency Control (LFC). The current work explores the coordinated use of SMES and TCPS for AGC in a two-area interconnected thermal power system, modeled using MATLAB/SIMULINK.

Zenodo (CERN European Organization for Nuclear Research)
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Natural Language Processing Techniques
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