Journal of Electrical Engineering and Technology

  • 제8권3호
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  • Pages.478-489
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  • 2013
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  • 1975-0102(pISSN)
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  • 2093-7423(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
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Designing an Emotional Intelligent Controller for IPFC to Improve the Transient Stability Based on Energy Function

  • Jafari, Ehsan (Dept. of Electrical Engineering, Science and Research Branch, Islamic Azad University) ;
  • Marjanian, Ali (Dept. of Electrical Engineering, Science and Research Branch, Islamic Azad University) ;
  • Solaymani, Soodabeh (Dept. of Electrical Engineering, Science and Research Branch, Islamic Azad University) ;
  • Shahgholian, Ghazanfar (Dept. of Electrical Engineering, Najafabad Branch, Islamic Azad University)
  • 투고 : 2012.01.22
  • 심사 : 2013.01.03
  • 발행 : 2013.05.01
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초록

The controllability and stability of power systems can be increased by Flexible AC Transmission Devices (FACTs). One of the FACTs devices is Interline Power-Flow Controller (IPFC) by which the voltage stability, dynamic stability and transient stability of power systems can be improved. In the present paper, the convenient operation and control of IPFC for transient stability improvement are considered. Considering that the system's Lyapunov energy function is a relevant tool to study the stability affair. IPFC energy function optimization has been used in order to access the maximum of transient stability margin. In order to control IPFC, a Brain Emotional Learning Based Intelligent Controller (BELBIC) and PI controller have been used. The utilization of the new controller is based on the emotion-processing mechanism in the brain and is essentially an action selection, which is based on sensory inputs and emotional cues. This intelligent control is based on the limbic system of the mammalian brain. Simulation confirms the ability of BELBIC controller compared with conventional PI controller. The designing results have been studied by the simulation of a single-machine system with infinite bus (SMIB) and another standard 9-buses system (Anderson and Fouad, 1977).

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참고문헌

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피인용 문헌

  1. BELBIC Tuned PI Controller Based Chopper Driven PMDC Motor vol.07, pp.09, 2016, https://doi.org/10.4236/cs.2016.79198
  2. A new brain emotional learning Simulink ® toolbox for control systems design * *This work was funded by the ERDF – European Regional Development Fund through the COMPETE Programme and by Portuguese funds through the FCT – Fundação para a Ciência e a Tecnologia within the project POCI-01-0145-FEDER-006961. vol.50, pp.1, 2017, https://doi.org/10.1016/j.ifacol.2017.08.1912
  3. Artificial emotional reinforcement learning for automatic generation control of large-scale interconnected power grids vol.11, pp.9, 2017, https://doi.org/10.1049/iet-gtd.2016.1734