LAPSE:2023.23136
Published Article
LAPSE:2023.23136
Time-Series PV Hosting Capacity Assessment with Storage Deployment
March 27, 2023
Abstract
Europe aims to diversify energy sources and reduce greenhouse gas emissions. On this field, large PV power growth is observed that may cause problems in existing networks. This paper examines the impact of distributed PV systems on voltage quality in a low voltage feeder in terms of the European standard EN 50160. As the standard defines allowable percentage of violation during one week period, time-series analyses are done to assess PV hosting capacity. The simulations are conducted with 10-minute step and comprise variable load profiles based on Gaussian Mixture Model and PV profiles based on a distribution with experimentally obtained parameters. In addition, the outcomes are compared with “snapshot” simulations. Next, it is examined how energy storage utilization affects the hosting capacity. Several deployments of energy storages are presented with different number and capacity. In particular, a greedy algorithm is proposed to determine the sub-optimal energy storage deployment based on the voltage deviation minimization. The simulations show that time-series analyses in comparison with snapshot analyses give completely different results and change the level of PV hosting capacity. Moreover, incorrect energy storage capacity selection and location may cause even deterioration of power quality in electrical systems with high RES penetration.
Keywords
energy storage system, hosting capacity, photovoltaics, power flow analysis, power quality, time series analysis
Suggested Citation
Bartecka M, Barchi G, Paska J. Time-Series PV Hosting Capacity Assessment with Storage Deployment. (2023). LAPSE:2023.23136
Author Affiliations
Bartecka M: Institute of Electrical Power Engineering, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland [ORCID]
Barchi G: Institute for Renewable Energy, Eurac Research, viale Druso 1, 39100 Bolzano, Italy [ORCID]
Paska J: Institute of Electrical Power Engineering, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland [ORCID]
Journal Name
Energies
Volume
13
Issue
10
Article Number
E2524
Year
2020
Publication Date
2020-05-15
ISSN
1996-1073
Version Comments
Original Submission
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PII: en13102524, Publication Type: Journal Article
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LAPSE:2023.23136
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https://doi.org/10.3390/en13102524
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