Optimal Planning of Electric Vehicles Energy Exchange in Parking Lots Considering Uncertainties
Loading...
Date
2022
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE Computer Society
Abstract
With the growing concern for energy conservation and environmental protection around the world, the use of Electric Vehicles (EVs) is being encouraged. In this way, the optimum allocation of EVs' parked in a distribution network is a challenging issue. In this paper, the optimal energy exchange between EVs and the distribution network is analyzed in two types of parking lots, which will be controlled by a charging provider or aggregator, and where the randomness related to vehicles and vehicle-to-grid (V2G) capability at the charging stations will be considered. In this way the stochastic behavior of an EV during the day was formulated as a mixed integer linear programming (MILP) problem, and Monte Carlo simulations were used to estimate the optimal loading and unloading patterns of EVs inside the parking lots based on the time-of-use .
Resumen
Keywords
time-of-use tariffs
Citation
Código de tesis
Código de tesis
Grado Académico
Director de tesis
Enlace al documento
URI
http://dspace.ucuenca.edu.ec/handle/123456789/40716
https://www.scopus.com/record/display.uri?eid=2-s2.0-85143800696&origin=resultslist&sort=plf-f&src=s&st1=Optimal+Planning+of+Electric+Vehicles+Energy+Exchange+in+Parking+Lots+Considering+Uncertainties&sid=22f1b95c46589eb0fe31177d3826320c&sot=b&sdt=b&sl=110&s=TITLE-ABS-KEY%28Optimal+Planning+of+Electric+Vehicles+Energy+Exchange+in+Parking+Lots+Considering+Uncertainties%29&relpos=0&citeCnt=0&searchTerm=
https://www.scopus.com/record/display.uri?eid=2-s2.0-85143800696&origin=resultslist&sort=plf-f&src=s&st1=Optimal+Planning+of+Electric+Vehicles+Energy+Exchange+in+Parking+Lots+Considering+Uncertainties&sid=22f1b95c46589eb0fe31177d3826320c&sot=b&sdt=b&sl=110&s=TITLE-ABS-KEY%28Optimal+Planning+of+Electric+Vehicles+Energy+Exchange+in+Parking+Lots+Considering+Uncertainties%29&relpos=0&citeCnt=0&searchTerm=
