Evaluating distribution network optimal structure with respect to solar hosting capacity

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Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Date
2023-03
Major/Subject
Mcode
Degree programme
Language
en
Pages
10
Series
Electric Power Systems Research, Volume 216
Abstract
Optimal design of distribution networks has become an important topic for analysis due to the growing share of photovoltaics (PV). Low and medium voltage networks should undergo structural changes to accommodate widespread PV generation and optimal operation. In this paper, the impact of the network structure on the solar hosting capacity (HC) is analyzed with respect to the role of low and medium voltage networks in power delivery. A given set of load nodes is simulated with multiple feeding substations and varying peak power and number of PV plants. The slime mold algorithm is utilized for numerous topology generations and measured load time series represent regions ranging from rural to urban. The results reveal that networks should go through significant structural changes to cope with larger PV generation and even more so to increase the HC. On the other hand, voltage control measures, such as on-load tap changers, PV reactive power control and curtailment, provide a competitive solution to varying size of distribution networks in hosting solar power. Finally, the analysis in this study provides evidence to a possible need in the change of residential PV policies in order to sustain the current pace of adopting PV plants in Finland.
Description
Funding Information: This work was supported by Aalto University of Finland as a part of “SolarX” project 211763 funded by Business Finland . Publisher Copyright: © 2022 The Author(s)
Keywords
Hosting capacity, Network planning, Slime mold algorithm, Voltage control
Other note
Citation
Püvi , V & Lehtonen , M 2023 , ' Evaluating distribution network optimal structure with respect to solar hosting capacity ' , Electric Power Systems Research , vol. 216 , 109019 . https://doi.org/10.1016/j.epsr.2022.109019