IPSO Based UPFC Robust Output Feedback Controllers for Damping of Low Frequency Oscillations

On the basis of the linearized Phillips-Herffron model of a single-machine power system, a novel method for designing unified power flow controller (UPFC) based output feedback controller is presented. The design problem of output feedback controller for UPFC is formulated as an optimization problem according to with the time domain-based objective function which is solved by iteration particle swarm optimization (IPSO) that has a strong ability to find the most optimistic results. To ensure the robustness of the proposed damping controller, the design process takes into account a wide range of operating conditions and system configurations. The simulation results prove the effectiveness and robustness of the proposed method in terms of a high performance power system. The simulation study shows that the designed controller by Iteration PSO performs better than Classical PSO in finding the solution.

• A. Safari
• H. Shayeghi
• H. A. Shayanfar

• UPFC
• IPSO
• output feedback Controller.

[1] N.G. Hingorani and L. Gyugyi, Understanding FACTS: concepts and
technology of flexible AC transmission systems, Wiley-IEEE Press;
1999.
[2] N. Tambey and M. Kothari, "Damping of power system oscillations with
unified power flow controller (UPFC)". IEE Proc. on Generation,
Transmission and Distribution, Vol. 150, No. 2, pp. 129-140, March
2003.
[3] P. K Dash, S. Mishra, and G. Panda, "A radial basis function neural
network controller for UPFC", IEEE Trans on Power Systems, Vol. 15,
No. 4, pp. 1293-1299, 2000.
[4] A. Nabavi-Niaki and M.R. Iravani, "Steady-state and dynamic models of
unified power flow controller (UPFC) for power system studies", IEEE
Trans. Power Systems. Vol. 11, No. 4; pp. 1937-1943, 1996.
[5] H. F. Wang, "A unified model for the analysis of FACTS devices in
damping power system oscillations - Part III : unified power flow
controller". IEEE Trans Power Delivery, Vol. 15, No. 3; pp. 978-983,
2000.
[6] H. F. Wang, "Damping function of unified power flow controller", IEE
Proc. on Generation, Transmission and Distribution, Vol. 146, No. 1,
pp. 81-87, 1999.
[7] H.F. Wang, "Application of modeling UPFC into multi-machine power
systems", IEE Proc. on Generation, Transmission and Distribution, Vol.
146, No. 3, pp. 306-312, 1999.
[8] H. Shayeghi , H.A. Shayanfar, S. Jalilzadeh and A. Safari, "Design of
output feedback UPFC controllers for damping of electromechanical
oscillations using PSO", Energy Conversion and Management, Vol. 50,
No. 10, pp. 2554-2561, 2009.
[9] J. Kennedy and R. Eberhart, Y. Shi, Swarm intelligence, Morgan
Kaufmann Publishers, San Francisco, 2001.
[10] S. L. Ho, S. Yang, G. Ni, E. W. C. Lo and H. C. Wong, "A particle
swarm optimization based method for multiobjective design
optimizations", IEEE Trans on Magnetics, Vol. 41, No. 5, pp. 1756-
1759, 2005.
[11] R. Poli, J. Kennedy and T. Blackwell, "Particle swarm optimization: An
overview", Swarm Intell. Vol. 1, pp. 33-57, 2007.
[12] A. Ratnaweera, S. K. Halgamuge and H. S. Watson, "Self organizing
Hierarchical particle swarm optimizer with time varying acceleration
coefficients", IEEE Trans on Evolutionary Computation. Vol. 8, No. 3,
pp. 240-255, 2004.
[13] T. Y. Lee and C. L. Chen, "Unit commitment with probabilistic reserve:
an IPSO approach", Energy conversion and Management. Vol. 48, pp.
486-493, 2007.
[14] H. Shayeghi , H.A. Shayanfar, S. Jalilzade and A. Safari, "A PSO based
unified power flow controller for damping of power system
oscillations", Energy Conversion and Management, Vol. 50, No. 10, pp.
2583-2592, 2009.