Power system stabilizers (PSSs) must be capable of providing appropriate stabilization signals over abroad range of operating conditions and disturbances. The main idea of this paper is changing aclassic PSS (CPSS) to an adaptive PSS using genetic algorithm. This new genetic algorithm based onadaptive PSS (GAPSS) improves power system damping, considerably. The controller design issue isformula...

Novel power system neural network (ANN) based stabilizers (PSS) are presented. The two ANN-PSS designs are driven by the speed error and its rate of change. Other supplementary Stabilizing signals such as voltage deviation, ezcursion error, and PSS output rate of change are utilized to ensure the best matching between the ANN-PSS design and the optimized conventional analog PSS bench-mark model...

This paper presents a modified Iteration Particle Swarm Optimization (IPSO) algorithm to tune optimal gains of a Proportional Integral Derivative (PID) type multiple stabilizers and non-smooth nonlinear parameters (such as saturation limits) for multi machine power system, simultaneously. The problem of robustly tuning of PID based multiple stabilizer design is formulated as an optimization pro...

Huang Shu and Tongwen Chen Dept. of Electrical and Computer Engineering University of Calgary Calgary, Alberta, Canada T2N 1N4 [email protected] [email protected] Abstract For a single-machine, in nite-bus power system, several digital robust stabilizers with single-rate and multirate sampling schemes are designed using modern H1 optimization. The digital stabilizers designed have low ...

In this paper, the theory and modeling of large scale photovoltaic (PV) in the power grid and its effect on power system stability are studied. In this work, the basic module, small signal modeling and mathematical analysis of the large scale PV jointed multi-machine are demonstrated. The principal portion of the paper is to reduce the low frequency fluctuations by tuned stabilizer in the atten...