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2011 21st International Conference on Systems Engineering
Intelligent Load Frequency Control of Two-Area Multi Unit Power System with SMES
Las Vegas, Nevada USA
August 16-August 18
ISBN: 978-0-7695-4495-3
| ASCII Text | x | ||
| Sathans, Akhilesh Swarup, "Intelligent Load Frequency Control of Two-Area Multi Unit Power System with SMES," Systems Engineering, International Conference on, pp. 147-152, 2011 21st International Conference on Systems Engineering, 2011. | |||
| BibTex | x | ||
| @article{ 10.1109/ICSEng.2011.34, author = { Sathans and Akhilesh Swarup}, title = {Intelligent Load Frequency Control of Two-Area Multi Unit Power System with SMES}, journal ={Systems Engineering, International Conference on}, volume = {0}, year = {2011}, isbn = {978-0-7695-4495-3}, pages = {147-152}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICSEng.2011.34}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Systems Engineering, International Conference on TI - Intelligent Load Frequency Control of Two-Area Multi Unit Power System with SMES SN - 978-0-7695-4495-3 SP147 EP152 A1 - Sathans, A1 - Akhilesh Swarup, PY - 2011 KW - load frequency control KW - fuzzy gain scheduling KW - SMES KW - automatic generation control KW - power system VL - 0 JA - Systems Engineering, International Conference on ER - | |||
This paper presents the design of a fuzzy gain scheduled proportional-integral (FGSPI) controller for load frequency control (LFC) of two-area multi unit power system with and without superconducting magnetic energy storage (SMES) unit in each area. The power system comprises of two reheat type thermal units of same capacity in each area. The dynamic response has been studied for 1% step load perturbation in area-1, using settling times, overshoots and undershoots of the tie-line power and frequency deviations as performance indices. The proposed intelligent controller is compared against conventional proportional-integral (PI) controller and optimal state feedback linear quadratic regulator (LQR) controller. Comparative analysis of the results shows that the proposed controller is quite effective and better than the other two controllers. The paper also adopts a new formulation of the area control error (ACE). Results obtained with this new control strategy using modified ACE indicate improvement of dynamic response. Simulations have been performed using Matlab®.
Index Terms:
load frequency control, fuzzy gain scheduling, SMES, automatic generation control, power system
Citation:
Sathans, Akhilesh Swarup, "Intelligent Load Frequency Control of Two-Area Multi Unit Power System with SMES," icseng, pp.147-152, 2011 21st International Conference on Systems Engineering, 2011
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