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- W4200416093 abstract "Increased electric vehicle fleet and renewable energy resources penetration in power systems can directly affect the system reliability and impose additional complexities due to their uncertainties. In this paper, a complete methodology for performing a reliability-oriented distribution system analysis is proposed while capturing the complex interactions between electric vehicles and photovoltaic power production. Stochastic models have been used to emulate the uncertain nature of loads and generation pertained to electric vehicle charging and photovoltaic power availability. Monte Carlo simulation is used to analyze a range of best to worst-case scenarios for more optimal outcomes. Various computational models such as the electric vehicle charging station model, reliability evaluation model, and economic evaluation model are proposed to support the reliability and economic evaluation with necessary inputs. A sensitivity analysis is performed to illustrate the reliability and economic impact due to electric vehicle charging, photovoltaic power production and various operating strategies. Finally, an optimization algorithm is used to choose the optimal resource sizes considering the minimization of charging station related cost and cost of unreliability." @default.
- W4200416093 created "2021-12-31" @default.
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- W4200416093 date "2022-05-01" @default.
- W4200416093 modified "2023-09-30" @default.
- W4200416093 title "Reliability oriented distribution system analysis considering electric vehicles and hybrid energy resources" @default.
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- W4200416093 doi "https://doi.org/10.1016/j.ijepes.2021.107500" @default.
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