A PSO-Based Static Synchronous Compensator Controller for Power System Stability Enhancement

Authors

Abstract

In this paper Power system stability enhancement through static synchronous compensator (STATCOM)
based controller is investigated. The potential of the STATCOM supplementary controllers to enhance the
dynamic stability is evaluated. The design problem of STATCOM based damping controller is formulated
as an optimization problem according to the eigenvalue based objective function that is solved by a particle
swarm optimization (PSO) algorithm. The controllers are tuned to simultaneously shift the lightly damped
and un-damped electro-mechanical modes of machine to a prescribed zone in the s-plane. The results
analysis reveals that the designed PSO based STATCOM damping controller has an excellent capability in
damping the power system low frequency oscillations and enhance greatly the dynamic stability of the
power system.

Keywords


[1] J. Machowski and J. W. Bialek, “State variable
control of shunt FACTS devices using phasor
measurements,” Electric Power Systems
Research, Vol. 78, pp. 39-48, 2008.
[2] N.G. Hingorani and L. Gyugyi, Understanding
FACTS: concepts and technology of flexible AC
transmission systems, Wiley-IEEE Press, 1999.
[3] M.A. Abido, “Analysis and assessment of
STATCOM based damping stabilizers for power
system stability enhancement,” Electric Power
Systems Research, Vol. 73, no. 3, pp. 177-185,
2005.
[4] H. F. Wang, “Phillips-Heffron model of power
systems installed with STATCOM and
applications,” IEE Proc. Generation Transmission
and Distribution, Vol. 146, pp. 521-527, 1999.
[5] S. Morris, P. K. Dash and K. P. Basu, “A fuzzy
variable structure controller for STATCOM,”
Electric Power Systems Research, Vol. 65, pp. 23-
34, 2003.
[6] A. H. M. A. Rahim and M. F. Kandlawala,
“Robust STATCOM voltage controller design
using loop shaping technique,” Electric Power
Systems Research, Vol. 68, pp. 61-74, 2004.
[7] J. Kennedy, “The particle swarm: social
adaptation of knowledge,” Proc. the International
Conf. Evolutionary and Computation,
Indianapolis, pp. 303-308, 1997.
[8] H. Shayeghi, A. Safari and H. Shayanfar,
“Multimachine power system stabilizers design
using PSO algorithm,” International Journal of
Elect Power and Energy System Engineering, Vol.

1, pp. 226-233, 2008.
[9] J. Kennedy, R. Eberhart and Y. Shi, Swarm
intelligence, Morgan Kaufmann Publishers, San
Francisco. 2001.
[10] H. Shayeghi, H. A. Shayanfar, S. Jalilzadeh and
A. Safari, “Design of output feedback UPFC
controller for damping electromechanical
oscillations using PSO,” Energy Conversion and
Management, Vol. 50, pp. 2554-2561, 2009.
[11] A. T. Al-Awami, Y. L. Abdel-Magid and M. A.
Abido, “A particle-swarm-based approach of
power system stability enhancement with unified
power flow controller,” Elect. Power and Energy
Systems, Vol. 29, pp. 251-259, 2007.