Automatic Post-Processing of Results

Một phần của tài liệu (Wiley IEEE) juan a martinez velasco transient analysis of power systems solution techniques, tools and applications wiley IEEE press (2015) (Trang 568 - 574)

12.6 Development of Data Translators for Interfacing Power-Flow Programs with EMTP-Type Programs

12.6.6.5 Automatic Post-Processing of Results

An important issue, that can be easily overlooked when translating power-flow data into files for time- domain simulations, is that the required computing resources and tools for the analysis of the results are completely different. Power-flow simulations can be run for very large systems with relatively modest computer resources in a few seconds. Then, the user can analyse the rms voltages and currents (power flow) for hundreds of nodes or branches by inspection of tabulated results. Most commercial PF programs report the exceptions (overcurrent and/or over- and undervoltages) for the convenience of the users. Many programs even produce coloured one-line diagrams to help the user find where the problems are. On the other hand, time-domain simulations are traditionally performed for relatively small networks. Therefore, the computer resources and required effort for analysing graphical (waveshape) results are comparable to those of the power-flow case. However, when converting a large power-flow case into a transient case, the required computer resources increase considerably. Besides taking substantial simulation time to produce the results (seconds become hours), it is impossible to plot and analyse the waveshapes for thousands of signals (voltages, currents, etc.). For the large network presented above, the results data file has 240 million lines! It is, therefore, recommended that an automated software facility be created to analyse the results. We note that the currently available plotting facilities of both EMTP-type tools are not designed to process efficiently this tremendous amount of information.

Acknowledgement

Financial support to Reynaldo Salcedo by the GAANN Fellowship from the US Department of Education is gratefully acknowledged.

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