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In this paper, we propose a methodology to tune power system stabilizers and thyristor-controlled series capacitor damping controllers simultaneously. The particle swarm optimization algorithm is incorporated into a power system model to tune the parameters of supplementary damping controllers. A test power system of 10 generators, 39 buses and 46 transmission lines is simulated to validate the use of this optimization algorithm. The tuning of supplementary damping controllers using the proposed methodology increases their performance to provide additional damping to low-frequency oscillation modes in the simulated power system. The controller position is determined by the participation factors (power system stabilizers) and the distance between the interest pole and the zero of the open-loop transfer function of the power oscillation damping controller (thyristor-controlled series capacitor-power oscillation damping). The results show the operating efficiency of the power system after using the optimization technique to tune damping parameters, thereby improving power system integrity. The power sensitivity model is used for the simulations presented in this work focusing on the analysis small-signal stability.

This paper presents resources to motivate universities to include computational tools, particularly in the teaching of modeling (design) of dynamical assisted systems (CAD-CAE) in undergraduate courses. The engineering in Brazil have several features for mathematical representation of dynamical systems via differential equations but these resources are applied to mathematical problems merely didactic. As the problem becomes more complex, the solution becomes impossible, except in the case of postgraduate education (Masters or PhD), however, the modeling time in the thesis becomes unviable for the industry. The computer-aided tools are solved engineering problems in complex projects with excellent results. View the great importance of this area, the universities of Brazil still provide limited resources for computer-aided design teaching, among the reasons has been the absence of financial resources and also because not be contained in the curricular program. Thus, in this paper, we show some results of computer-aided models and present the importance of preparing future engineers in this area so that the industries have qualified manpower in order to increase the speed in obtaining the solutions. Projects of national industries, for the most part, are imported from matrix and the Brazil needs to emphasize this teaching methodology, thus seeking greater technological growth.

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This paper presents one alternative method for localization and adjustment parameters of Power System Stabilizers and Flexible Alternating Current Transmission System devices added to Power Oscillation Damping controllers in the power system. The goal is to increase the damping of small frequency oscillations, thereby improving the small-signal stability. The locations of the devices in the power system influence the adjustment, therefore it is necessary to study and do simulations for the ideal placement of these devices. After finding the place of the devices an adjustment process is made that will be able to obtain the parameters of the controllers. Artificial Neural Network is used as an additional tool to the Decentralized Modal Control algorithm to do the adjustment. For verifying the efficiency of the devices localization and adjustments, one test system is simulated, containing 10 generators, 39 bus and 46 transmissions lines.