Journals / Turkish Journal of Electrical Engineering and Computer Science / 2016 / Cilt: 24 - Sayı: 4

Modeling and control of a 6-control-area interconnected power system to protect the network frequency applying different controllers

Pages
2205–2219
Publication Date
2016-08-01
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Therefore, the PI-based fuzzy logic controller has been chosen as the best control solution to bring the grid frequency back to its nominal value as quickly as possible after occurrence of load variations.

📌 3 Key Takeaways

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Objective & Hypothesis:In this paper, we first analyze and build a model of the 6-control-area interconnected power system as the typical case study.
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Key Findings & Data:Subsequently, different frequency controllers based on tie-line bias control strategy, namely integral, proportional--integral, proportional--integral--derivative, and PI-based fuzzy logic, will be investigated and applied to the power system model.
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Conclusion & Impact:Therefore, the PI-based fuzzy logic controller has been chosen as the best control solution to bring the grid frequency back to its nominal value as quickly as possible after occurrence of load variations.
🔬Design:Modeling & Simulation
📍Scope:2013 Verileri
⚙️Variables:Interconnected power system · deviation · frequency

Abstract

In this paper, we first analyze and build a model of the 6-control-area interconnected power system as the typical case study. Subsequently, different frequency controllers based on tie-line bias control strategy, namely integral, proportional--integral, proportional--integral--derivative, and PI-based fuzzy logic, will be investigated and applied to the power system model. The most important control performances, such as overshoots and settling times, are considered in this study to evaluate the stability of the power system and choose the most suitable controller for maintaining the network frequency. The simulation results have been achieved by using MATLAB/Simulink package version 2013 in this work. According to these results, the maximum overshoots of the PI-based fuzzy logic controller are from 36.56{\%} to 90.13{\%}, and its settling times are from 19.00{\%} to 98.26{\%} in comparison with the other regulators in the given control power system. Therefore, the PI-based fuzzy logic controller has been chosen as the best control solution to bring the grid frequency back to its nominal value as quickly as possible after occurrence of load variations.

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Cite This Article

NGUYEN, N., HUANG, Q., DAO, T. (2016). Modeling and control of a 6-control-area interconnected power system to protect the network frequency applying different controllers. Turkish Journal of Electrical Engineering and Computer Science, Cilt: 24 - Sayı: 4, 2205–2219. https://ajindex.com/articles/187894

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