论文信息 - Application of Self-Adaptive Differential Evolution to tuning PSS parameters

Application of Self-Adaptive Differential Evolution to tuning PSS parameters

This paper presents the application of Self-Adaptive Differential Evolution (SADE) to tuning the parameters of power system Stabilizer (PSS). In order for the PSS to be robust with respect to system uncertainties, several operating conditions are taken into consideration during the design. The designed PSS based on SADE (SADE-PSS) is compared with that designed using the Classical Differential Evolution (DE). Frequency and time domain simulations based on small and large disturbances are presented to show the effectiveness of SADE-PSS. It is shown that under small and large disturbances, SADE-PSS provides better damping than both DE-PSS for the cases investigated.

K. A. Folly | T. Mulumba

[1] K.A. Folly. Robust controller design for small-signal stability enhancement of power systems , 2004, 2004 IEEE Africon. 7th Africon Conference in Africa (IEEE Cat. No.04CH37590).

[2] Newton G. Bretas,et al. Perspectives for the coordinated design of damping controllers in restructured power systems , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

[3] Charles Concordia,et al. Concepts of Synchronous Machine Stability as Affected by Excitation Control , 1969 .

[4] H. Happ. Power system control and stability , 1979, Proceedings of the IEEE.

[5] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..

[6] D. A. Pierre,et al. A Perspective on Adaptive Control of Power Systems , 1987, IEEE Transactions on Power Systems.

[7] Arthur C. Sanderson,et al. Adaptive Differential Evolution , 2009 .

[8] Janez Brest,et al. Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems , 2006, IEEE Transactions on Evolutionary Computation.

[9] Hiroshi Sasaki,et al. SYNTHESIS OF TWO-INPUT PSS BASED ON THE H∞ CONTROL THEORY , 1998 .

[10] O. P. Malik,et al. H∞ optimisation-based power system stabiliser design , 1995 .