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Title: |
PSO embedded online adaptive self-tuning UPFC shunt converter control |
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Author: |
A.H.M.A. Rahim, E.P. Nowicki 
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Address: |
King Fahd University of Petroleum & Minerals, P.O. Box. 349, Dhahran 31261, Saudi Arabia. ' Department of Electrical Engineering, University of Calgary, Calgary, AB, Canada |
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Journal: |
International Journal of Power and Energy Conversion 2009 - Vol. 1, No.4 pp. 348 - 362 |
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Abstract: |
The dynamic performance of a power system can be improved by using additional signals in a unified power flow controller (UPFC) circuits. Self-tuning adaptive control of phase angle of shunt converter for stabilisation is considered in this article. From the input-output data record, a linear plant model of the UPFC is identified through a least square regressive algorithm. Stabilising control is derived for the identified model through a variable pole-shifting technique. A particle swarm optimisation (PSO) search procedure is employed to determine the control which minimises the error between the identified and actual system outputs. Simulations carried out with the pole-shifting stabilising control for a range of operation demonstrate extremely good damping profile. Comparison of the responses with the optimised PI controls verifies the robustness of the proposed adaptive algorithms. |
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Keywords: |
power system control; UPFC shunt control; particle swarm optimisation; PSO; adaptive control; self-tuning control; unified power flow controller; shunt converter; simulation. |
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DOI: |
10.1504/IJPEC.2009.029053 |
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