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Design Of SSSC Based Damping Controller Using TLBO Algorithm


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1 Department of Electrical Engineering, Sangam University, India
     

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The proposed study shows a coordinated serial synchronous static compensator (SSSC) design that has been introduced as a complement to soaking oscillations at low frequencies. The design and structure of SSSC-based control is based on the forward delay structure and includes gate turn of thyristor (GTO) as a control device. This controller is implemented in a single machine Infinity Bus Power System (SMIB) based on the Philips Heffron model to reduce low frequency oscillations. To adjust the parameters of the damping controller, the optimized learning-learning algorithm (TLBO) is used under various conditions such as reference voltage adjustment and parameter variation. The problem statement is formulated as an objective function using the absolute integral time error (ITAE). In addition, the given model has also been changed to MATLAB and changes in the reference voltage configuration and variation of system parameters have been tested. Later, these results were compared with different controllers and different objective functions to verify their soundness and system efficiency.

Keywords

Power System, Philips Heffron model, Single Machine Infinite Bus System, Flexible AC Transmission System, Reference Voltage Setting, Parameter Variations.
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  • Design Of SSSC Based Damping Controller Using TLBO Algorithm

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Authors

Kapil Parkh
Department of Electrical Engineering, Sangam University, India
Vinesh Agarwal
Department of Electrical Engineering, Sangam University, India

Abstract


The proposed study shows a coordinated serial synchronous static compensator (SSSC) design that has been introduced as a complement to soaking oscillations at low frequencies. The design and structure of SSSC-based control is based on the forward delay structure and includes gate turn of thyristor (GTO) as a control device. This controller is implemented in a single machine Infinity Bus Power System (SMIB) based on the Philips Heffron model to reduce low frequency oscillations. To adjust the parameters of the damping controller, the optimized learning-learning algorithm (TLBO) is used under various conditions such as reference voltage adjustment and parameter variation. The problem statement is formulated as an objective function using the absolute integral time error (ITAE). In addition, the given model has also been changed to MATLAB and changes in the reference voltage configuration and variation of system parameters have been tested. Later, these results were compared with different controllers and different objective functions to verify their soundness and system efficiency.

Keywords


Power System, Philips Heffron model, Single Machine Infinite Bus System, Flexible AC Transmission System, Reference Voltage Setting, Parameter Variations.