Review of probabilistic load flow approaches for power distribution systems with photovoltaic generation and electric vehicle charging

•Review of papers examining state-of-the-art approaches for each components of PLF.•Three inputs for distributed power system considered: load, PV, and EV charging.•Further research directions required to advance the work in this field are identified. The currently increasing penetration of photovol...

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Vydáno v:International journal of electrical power & energy systems Ročník 120; s. 106003
Hlavní autoři: Ramadhani, Umar Hanif, Shepero, Mahmoud, Munkhammar, Joakim, Widén, Joakim, Etherden, Nicholas
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.09.2020
Témata:
Correlation modelling
Engineering Science with specialization in Civil Engineering and Built Environment
EV charging
Power distribution system
Probabilistic load flow
Probabilistic uncertainty modelling
PV generation
Teknisk fysik med inriktning mot byggteknik och byggd miljö
Power distribution system
Probabilistic load flow
Probabilistic uncertainty modelling
Correlation modelling
PV generation
EV charging
ISSN:0142-0615, 1879-3517, 1879-3517
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Popis
Shrnutí:•Review of papers examining state-of-the-art approaches for each components of PLF.•Three inputs for distributed power system considered: load, PV, and EV charging.•Further research directions required to advance the work in this field are identified. The currently increasing penetration of photovoltaic (PV) generation and electric vehicle (EV) charging in electricity distribution grids leads to higher system uncertainties. This makes it vital for load flow analyses to use probabilistic methods that take into account the uncertainty in both load and generation. Such probabilistic load flow (PLF) approaches typically involve three main components: (1) probability distribution models, (2) correlation models, and (3) PLF computations. In this review, state-of-the-art approaches to each of these components are discussed comprehensively, including suggestions of preferred modelling methods specifically for distribution systems with PV generation and EV charging. Research gaps that need to be explored are also identified. For further development of PLF analysis, improving input distribution modelling to be more physically realistic for load, PV generation, and EV charging is vital. Further correlation modelling efforts should focus on developing an effective spatio-temporal correlation model that is able to cope with high-dimensional inputs. The computational speed of PLF analysis needs to be improved to accommodate more complex distribution system models, and time-series approaches should be developed to meet operational needs. Furthermore, collection of higher-quality data is crucial for PLF studies, especially for improving the accuracy in the input variables.
ISSN:0142-0615
1879-3517
1879-3517
DOI:10.1016/j.ijepes.2020.106003