Publication Type:

Conference Paper

Source:

IEEE Region 10 Annual International Conference, Proceedings/TENCON, Institute of Electrical and Electronics Engineers Inc., p.812-817 (2017)

ISBN:

9781509025961

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015431344&doi=10.1109%2fTENCON.2016.7848117&partnerID=40&md5=3ab2318491903bd7b01dd2837a9d66fb

Keywords:

Adaptive control systems, Adaptive controllers, Controllers, Design and implementations, Electric power system control, Electric power system stability, Electric power transmission, Flexible ac transmission system (FACTS), flexible AC transmission systems, Power system oscillations, Power system performance, Power system stability, Real time recurrent learning algorithms, System stability, Thyristor controlled series capacitor, Thyristors

Abstract:

<p>The power system complexity is increasing day by day and the requirement of stable, secure and high quality electrical power is mandatory in present scenario. Flexible AC Transmission System (FACTS) devices such as Thyristor Controlled Series Capacitor (TCSC) are commonly used nowadays to improve the power system performance. This paper presents the design and Implementation of non-linear, Adaptive Real Time Recurrent Learning Algorithm (RTRL) based controller for TCSC to damp power system oscillations and enhance the stability of the system. This control scheme requires two sets of neural networks. The first set is a neuro-identifier and the second set is a neuro-controller which generate the required control signals for the thyristors. © 2016 IEEE.</p>

Notes:

cited By 0; Conference of 2016 IEEE Region 10 Conference, TENCON 2016 ; Conference Date: 22 November 2016 Through 25 November 2016; Conference Code:126432

Cite this Research Publication

Dr. Sindhu Thampatty K.C. and Raj, P. C. R., “Design and Implementation of RTRL Based Adaptive Controller for TCSC to enhance power system stability”, in IEEE Region 10 Annual International Conference, Proceedings/TENCON, 2017, pp. 812-817.

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