Version 1
: Received: 22 October 2020 / Approved: 23 October 2020 / Online: 23 October 2020 (15:37:19 CEST)
How to cite:
Szablicki, M.; Rzepka, P.; Halinka, A. Risk Analysis of the Power System Protection Delayed Triggers in Power Network Integrating Renewable Energy Sources in Fault Dynamic States. Preprints2020, 2020100496. https://doi.org/10.20944/preprints202010.0496.v1
Szablicki, M.; Rzepka, P.; Halinka, A. Risk Analysis of the Power System Protection Delayed Triggers in Power Network Integrating Renewable Energy Sources in Fault Dynamic States. Preprints 2020, 2020100496. https://doi.org/10.20944/preprints202010.0496.v1
Szablicki, M.; Rzepka, P.; Halinka, A. Risk Analysis of the Power System Protection Delayed Triggers in Power Network Integrating Renewable Energy Sources in Fault Dynamic States. Preprints2020, 2020100496. https://doi.org/10.20944/preprints202010.0496.v1
APA Style
Szablicki, M., Rzepka, P., & Halinka, A. (2020). Risk Analysis of the Power System Protection Delayed Triggers in Power Network Integrating Renewable Energy Sources in Fault Dynamic States. Preprints. https://doi.org/10.20944/preprints202010.0496.v1
Chicago/Turabian Style
Szablicki, M., Piotr Rzepka and Adrian Halinka. 2020 "Risk Analysis of the Power System Protection Delayed Triggers in Power Network Integrating Renewable Energy Sources in Fault Dynamic States" Preprints. https://doi.org/10.20944/preprints202010.0496.v1
Abstract
In the development of power systems it is indicated very often, that transformation of power systems should be carried out in accordance with the idea of energy democracy. This will develop energy communities, that are trying to meet energy needs by using local renewable generation sources. This may result with a temporary low load on the MV lines connecting the community grid and the power system. Such state may cause incorrect operation of power protection systems. This can cause an extended protection operation time, due to decision algorithms inactivity at low values of measurement currents. Therefore, the detailed MV lines overcurrent digital protection model and a dynamic model of the power network were developed. The simulation results are showing that the settings of the parameters activating the protection decision algorithms affect their operation time in dynamic conditions. The conclusion is that the development of the power protection automatics must be carried out in the same time (preferably in advance) with the change of the power system operation model. This is very important for future power systems with high penetration energy communities and renewable generation sources.
Keywords
power system protection; renewable energy sources; fault elimination; power system security
Subject
Engineering, Automotive Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.