Probabilistic Assessment of Hosting Capacity in Distribution Networks Considering Varying References and Network Losses
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URL
Journal Title
Journal ISSN
Volume Title
Sähkötekniikan korkeakoulu |
Master's thesis
Authors
Date
2021-06-14
Department
Major/Subject
Electrical Power and Energy Engineering
Mcode
ELEC3024
Degree programme
AEE - Master’s Programme in Automation and Electrical Engineering (TS2013)
Language
en
Pages
52+8
Series
Abstract
The transitioning of power distribution networks from passive towards active paradigm by integration of distributed generation gives rise to concerns regarding network stability due to operational bottlenecks. Therefore, maximum photovoltaic penetration, known as hosting capacity, is limited in distribution networks concerning technical and economical constraints. However, hosting capacity is case specific considering varying reference definitions and selection of performance constraints. A probabilistic approach has been adopted in this thesis to analyze the hosting capacity of three Finnish distribution networks depending on different references and economical constraints. The stochastic network analysis is based on Monte Carlo simulations to consider the random probability distribution of loads. The idea of hosting capacity is further extended towards finding economical hosting capacity subject to the performance constraint of network losses. An optimal network formation in terms of cables and transformer selection is carried out in the context of cost and benefit analysis. The inability of deterministic methods for assessing the probabilistic loads has been resolved by employing a large number of simulation scenarios for optimal modelling of network components. In addition, the influence of the amount of PV penetration on network losses is investigated in the context of finding the point of violation of network losses before and after the addition of PVs. Finally, a sensitivity analysis is carried out to consider the uncertainties in certain decisive parameters for network analysis and results are concluded.Description
Supervisor
Lehtonen, MattiThesis advisor
Püvi, VernerKeywords
distributed photovoltaics, economical analysis, monte-carlo simulations, network losses, optimal network, PV hosting capacity