A Congestion Forecast Framework for Distribution Systems with High Penetration of PV and PEVs
Paper i proceeding, 2019

This paper presents a congestion forecast framework for electrical distribution systems with high penetration of solar photovoltaic and plug-in electric vehicles. The framework is based on probabilistic power flow to account for the uncertainties in photovoltaic production and load demand. The proposed framework has been implemented and tested using the data of the real distribution grid of Chalmers University of Technology campus. Cases studies have been carried out using the framework to analyse the impact of different local production levels and operating modes of solar photovoltaic inverter. The results have shown that cumulative probability for network congestion in branches and transformers would increase by 30% and 20% respectively, when the level of local PV generation, demand and PEVs demand to increase by 100%, 95% and 100% respectively. Also, results have shown that network congestion in branches and transformers is 4% and 8% respectively, more likely to occur in the constant-V mode as compared to constant-pf mode. These results can help distribution system operators to predict any upcoming congestion in their system and subsequently help them in taking suitable actions in order to mitigate congestion.


congestion forecast

Backward-forward sweep

probabilistic power flow

electric vehicles


Ankur Srivastava

Chalmers, Elektroteknik, Elkraftteknik

David Steen

Chalmers, Elektroteknik, Elkraftteknik

Anh Tuan Le

Chalmers, Elektroteknik, Elkraftteknik

Ola Carlson

Chalmers, Elektroteknik, Elkraftteknik

2019 IEEE Milan PowerTech, PowerTech 2019

978-1-5386-4722-6 (ISBN)

13th IEEE PES PowerTech Conference 2019
Milano, Italy,

Integrated cyber-physical solutions for intelligent distribution grid with high penetration of renewables (UNITED-GRID)

Europeiska kommissionen (EU) (EC/H2020/773717), 2017-11-01 -- 2020-04-30.


Övrig annan teknik


Annan elektroteknik och elektronik





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