Journals / Turkish Journal of Electrical Engineering and Computer Science / 2013 / Cilt: 21 - Sayı: Sup.2

SSR mitigation with SSSC thanks to fuzzy control

Pages
2294–2306
Publication Date
2012-12-01
DOI
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AI Summary & Key Takeaways

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

The IEEE second benchmark model aggregated with the SSSC is utilized and simulations are presented.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper deals with the capability of a static synchronous series compensator (SSSC) to attenuate the subsynchronous resonance (SSR).
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Key Findings & Data:These 2 damping controllers are added to a main control loop of a SSSC operating as a SSR damping controller.
💡
Conclusion & Impact:The IEEE second benchmark model aggregated with the SSSC is utilized and simulations are presented.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Flexible AC transmission systems · fuzzy logic control · static synchronous series compensator

Abstract

This paper deals with the capability of a static synchronous series compensator (SSSC) to attenuate the subsynchronous resonance (SSR). Two well-known controllers are designed, namely a conventional damping controller (CDC) and fuzzy logic damping controller (FLDC). These 2 damping controllers are added to a main control loop of a SSSC operating as a SSR damping controller. It should be noted that, to optimize the parameters of the CDC, a versatile optimization technique is implemented, namely particle swarm optimization (PSO). A comprehensive comparison between the 2 control methods is carried out for different operational conditions. To observe the superior performance of the proposed FLDC, many operating points and different fault types are considered. The IEEE second benchmark model aggregated with the SSSC is utilized and simulations are presented.

Özet

This paper deals with the capability of a static synchronous series compensator (SSSC) to attenuate the subsynchronous resonance (SSR). Two well-known controllers are designed, namely a conventional damping controller (CDC) and fuzzy logic damping controller (FLDC). These 2 damping controllers are added to a main control loop of a SSSC operating as a SSR damping controller. It should be noted that, to optimize the parameters of the CDC, a versatile optimization technique is implemented, namely particle swarm optimization (PSO). A comprehensive comparison between the 2 control methods is carried out for different operational conditions. To observe the superior performance of the proposed FLDC, many operating points and different fault types are considered. The IEEE second benchmark model aggregated with the SSSC is utilized and simulations are presented.

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Cite This Article

HOSSEINI, S. M. H., SAMADZADEH, H., OLAMAEI, J., FARSADI, M. (2012). SSR mitigation with SSSC thanks to fuzzy control. Turkish Journal of Electrical Engineering and Computer Science, Cilt: 21 - Sayı: Sup.2, 2294–2306. https://ajindex.com/articles/188857

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References (10)

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