Probabilistic Analysis of Impacts on Distribution Networks due to the Connection of Diverse Models of Plug-in Electric Vehicles

2020 ◽  
Vol 18 (12) ◽  
pp. 2063-2072
Author(s):  
Gustavo Ezequiel Coria ◽  
Franco Penizzotto ◽  
Andres Romero
Author(s):  
Wilson Jhonatan Olmedo Carrillo ◽  
Andrés Santiago Cisneros-Barahona ◽  
María Isabel Uvidia Fassler ◽  
Gonzalo Nicolay Samaniego Erazo ◽  
Byron Andrés Casignia Vásconez

2019 ◽  
Vol 9 (17) ◽  
pp. 3501 ◽  
Author(s):  
Vasiliki Vita ◽  
Stavros Lazarou ◽  
Christos A. Christodoulou ◽  
George Seritan

This paper proposes a calculation algorithm that creates operational points and evaluates the performance of distribution lines after reinforcement. The operational points of the line are probabilistically determined using Monte Carlo simulation for several objective functions for a given line. It is assumed that minimum voltage at all nodes has to be balanced to the maximum load served under variable distributed generation production, and to the energy produced from the intermittent renewables. The calculated maximum load, which is higher than the current load, is expected to cover the expected needs for electric vehicles charging. Following the proposed operational patterns, it is possible to have always maximum line capacity. This method is able to offer several benefits. It facilitates of network planning and the estimation of network robustness. It can be used as a tool for network planners, operators and large users. It applies to any type of network including radial and meshed.


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