MATEC Web Conf.
Volume 245, 2018International Scientific Conference on Energy, Environmental and Construction Engineering (EECE-2018)
|Number of page(s)||4|
|Section||Engineering Nets and Equipment|
|Published online||05 December 2018|
Admissibility assessment of external network based on experimental data equivalence method
Peter the Great Saint-Petersburg Polytechnic University, Institute of Energy and Transport Systems 195251 Polytechnicheskaya 29, Saint-Petersburg, Russian Federation
* Corresponding author: firstname.lastname@example.org
Performing calculations of steady-state regimes and to determine the cutset grid capacity obtaining initial data is quite easy if you know the voltage class of transmission lines and their lengths. That is why such calculations in the RastrWin software environment give a good match to the results in kind. To ensure the results coincidence of transient processes, a significantly larger amount of data on the elements dynamic properties of the system and the tuning of the control systems is needed. Therefore, calculations provide an opportunity to compare the effectiveness of various excitation systems, but quantitative estimates of the limits of sustainability in nature and the model, as well as the configuration of excitation system often do not coincide. In the Russian Federation, a methodology for the equivalence of the external network of power plants based on experimental data has been developed and is successfully applied in practice. As a result, it becomes possible to promptly perform stability forecast calculations by dispatching personnel and to select the setting of the automatic control system for excitation by operational personnel in the circuit directly during commissioning tests at power plants. This paper describes accuracy and efficiency assessment of this methodology.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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