A probabilistic unit commitment model for optimal operation of plug-in electric vehicles in microgrid

Optimal operation of an energy hub considering the uncertainty associated with the power consumption of plug-in hybrid electric vehicles using information gap decision theory

“…The authors have demonstrated the capability of plug-in electric vehicles' charging management in reducing the daily system cost estimation by up to 40%. Moghaddas-Tafreshi et al [38] have also put forward a probabilistic unit commitment model to optimally operate plug-in electric vehicles in a grid-tied micro-grid serving both electrical and thermal loads. The authors have presented a scenario-based approach to cope with the uncertainties associated with the availability of vehicles, load demand prediction, and wind speed forecast.…”

A review of optimization techniques applied to solve unit commitment problem in microgrid

“…SeyedMasoudMoghaddasTafreshi [61] presented a indiscriminate Unit Commitment (UC) model for optimal operation of microgrid which comprises Plug in electric vehicles (PEVs), wind turbine, 1163 microturbines, boiler, battery storage and thermal storage. The expected total profit of the UC schedule is taken as objective function.…”

Probabilistic–possibilistic model for a parking lot in the smart distribution network expansion planning

“…Therefore, a network radial constraint should be satisfied in P-PDNEP V2G . In a distribution system, if each feeder is a connected graph and the number of lines is equal to load points as illustrated in (25), the structure of the system is radial [34]…”

“…In [24], a new stochastic power flow based on unscented transform is proposed to model the high uncertain behaviour of the charging and discharging pattern of PEVs. The scenario-based approach is used in [25] to model the V2G uncertainties. The inherent uncertainty and variability of the PEV charging load have complicated the operations of distribution systems.…”