Issue |
E3S Web Conf.
Volume 80, 2019
2018 International Conference on Renewable Energy and Environment Engineering (REEE 2018)
|
|
---|---|---|
Article Number | 02005 | |
Number of page(s) | 7 | |
Section | Power Engineering and Mechatronics | |
DOI | https://doi.org/10.1051/e3sconf/20198002005 | |
Published online | 15 January 2019 |
Reliability framework for power network assessment
1
Tallinn University of Technology, Estonia
2
SINTEF Energy research
3
Department of Computer Science, University of Lleida, Jaume II 69, 25001 Lleida, Spain
Reliability of power system in terms of investments in network maintenance and restructuring for power distribution network has gained importance due to increase in distributed generation. To determine the reliability of the power distribution network, the state of power apparatus, losses in the network and consumer satisfaction indices are key factors. Considering the aforementioned, this paper proposes a holistic reliability framework for power distribution networks. The framework lists the following factors: life cycle of power apparatus, environmental and sociological, node reliability, arc reliability. A case study for reliability evaluation is performed on a modified IEEE 14 bus network. Furthermore, multiple scenarios of generation fault or outage are studied and results are presented. The key contribution of this paper is to present a novel and holistic reliability framework to model distribution network.
© The Authors, published by EDP Sciences, 2019
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.