Issue |
MATEC Web Conf.
Volume 210, 2018
22nd International Conference on Circuits, Systems, Communications and Computers (CSCC 2018)
|
|
---|---|---|
Article Number | 02045 | |
Number of page(s) | 7 | |
Section | Systems | |
DOI | https://doi.org/10.1051/matecconf/201821002045 | |
Published online | 05 October 2018 |
Extended Capabilities of the Power Quality Management System of the Power Distribution Grid for Data Exchange
1
University of Craiova, INCESA (Research Hub for, Applied Sciences), 107 Decebal Bld, 200440 Craiova, Romania
2
Oltenia Distribution, Craiova, Romania
* Corresponding author: denisa.rusinaru@incesa.ro
The actual operation of the power distribution systems asks for high power quality (PQ). This fully justifies the investments in improving the metrics of power grid performances. But maintaining a PQ data infrastructure in a numerous locations is time-consuming and prohibitive. Moreover, each PQ monitor releases its own data format. These considerations justified using of a central PQ management system able to manipulate elliptical and time discontinuous information. The paper presents the characteristics of a webbased application designed to collect the data measured with different technologies of monitors and translate them into a common PQ data interchange format allowing comprehensive and long-duration grid operation assessment. The unitary formatted data generated by this customized software tool can be further processed by a proprietary software platform for PQ management owned by the network operator. The present version of this conversion tool is applicable only for one product family operating in the local power distribution grid. Further development is planned for integrating other two monitor vendors/families.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.