Abstract
The aim of the SOCRATES EIE-Surveyor project is to be a reference point for Electrical and Information Engineering in Europe, bringing together representatives from 27 out of 31 eligible countries. One of the tasks of the project is the evaluation of the accreditation processes in the participating countries. A questionnaire about the accreditation process was developed and sent to project partners in each participating country. The main areas investigated the nature of the accreditation body, the criteria, which are evaluated, the structure of the visit and the decision formulation. The results of the questionnaire, will be analyzed using clustering analysis and more precisely hierarchical, in order to compare the answers in 17 European countries and to find similarities among them. As distance measures the Euclidian metric and the City block distance will be used. Average linkage, and Ward clustering algorithms will be utilized. © 2008 IEEE.

Abstract
Electric power network stability analysis requires that all system components are represented by their models. Usually, detailed data about system components such as generators, transformers and transmission lines are available. In this case accurate models can be derived from the network devices. However, corresponding data for individual loads are not always available, which makes the modelling of loads an important area of research studies. In this paper it is studied and analysed the effect of the composite load models in the dynamic voltage stability of an electric power network. The composite load models comprise residential, commercial and industrial loads. A severe contingency situation was simulated. The automatic voltage regulators of the generating units, the turbine speed governors, and the under load tap changers models were taken into account. The simulation results were obtained using the EUROSTAG software package. Finally, some conclusions that provide a better understanding of the dynamic voltage stability are pointed out.

Abstract
Sabilizing control for power system stability has been applied to generators equipped with excitation controller and speed governor. Recently, power electronics-based control devices have been the focus of research and development for the improvement of dynamic stability. Power electronics control devices are utilized for control of the power flow on a transmission line or the reactive power in a power system. In this paper it will be presented a thyristor controlled series compensation strategy to improve the dynamic voltage stability of an Electric Power System. In this study it was simulated a significant load demand disturbance in a test power network. The Automatic Voltage Regulator of the generating units, the Under Load Tap Changer and loads were taken into account. The simulation results were obtained using EUROSTAG software package.

Abstract
This paper presents a transient stability preventive control technique based on a hybrid method. In order to maintain the power system security it is evaluated the generators output power that should be shift from the most unstable synchronous machines to the undisturbed units. The reallocation of the generators output power is carried out using an optimal power flow program. The hybrid method is a very important tool for the transient stability analysis, since it allows a fast evaluation of the stability limits and margins. This approach can also easily accommodate detailed models of the network devices and protective schemes. In order to validate the established mathematical models it was studied the transient stability of the New England test power network. The results obtained with the proposed methodology were compared with the solutions produced by another numerical formulation, showing a very close agreement.

Abstract
The significant increase of production of energy from renewable sources led to the necessity of developing new ways of exploration of the power systems. The evaluation of the intermittent of the renewable generation, which characterizes some of the renewable sources, such as wind power, becomes very important to assess its impact on the generation reliability of power systems. This paper studies and analyses the reliability impact of a Portuguese wind farm in the power system using a computer model which represents the Portuguese wind farm by a Markov process. The probabilistic model combines the stochastic characteristics of wind speed with the characteristics of the wind turbines. The transition between the operative and failed states of the wind turbines, characterized by failure and repair rates, are combined with wind behaviour to allow the calculation of some performance indices used on the analysis of the wind power output expectation of the Portuguese wind farm. Some results obtained with the model applied to a Portuguese wind farm are presented. The results show the modelling of the mind form in reliability studies and the use of the model to evaluate the generation states and their probabilities, allied to several reliability indices.

Abstract
All over the world, energy companies are investing in technologies to make better use of renewable energy to generate electric power. Wind energy is the renewable energy source that had a higher growing in the last decades and can be considered a hope in future based on clean and sustainable energy. The development of tools that allows operators and maintenance personnel to correlate machinery related information with other operational information such as machine speed, electrical load, and wind speed, are needed.