Probabilistic Assessment of Hosting Capacity in Distribution Networks Considering Varying References and Network Losses

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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, Matti

Thesis advisor

Püvi, Verner

Keywords

distributed photovoltaics, economical analysis, monte-carlo simulations, network losses, optimal network, PV hosting capacity

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Citation

Permanent link to this item

https://urn.fi/URN:NBN:fi:aalto-202106207480

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[dipl] Sähkötekniikan korkeakoulu / ELEC