Electric Vehicle Trip Chain Information-Based Hierarchical Stochastic Energy Management With Multiple Uncertainties

This paper proposes a vehicle trip chain information-based hierarchical stochastic energy management system (Hi-SEMS) for a microgrid integrated with highly uncertain plug-in electric vehicles (PEVs) fleet, renewable energy sources, and loads. The two-layer Hi-SEMS scheme aims at optimal scheduling...

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Bibliographic Details
Published in:IEEE transactions on intelligent transportation systems 2022-10, Vol.23 (10), p.18492-18501
Main Authors: Rathor, Sumit, Saxena, Dipti, Khadkikar, Vinod
Format: Article
Language:English
Subjects:
Chains
Costs
Discharge
Distributed generation
Economic forecasting
Electric vehicles
Electrical plugs
Energy management
Load modeling
Microgrids
Operating costs
Plug-in electric vehicles
Radial distribution
Real time operation
Real-time systems
Renewable energy sources
Scheduling
stochastic modeling
Stochastic processes
Transportation
trip chain information
Uncertainty
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Summary:This paper proposes a vehicle trip chain information-based hierarchical stochastic energy management system (Hi-SEMS) for a microgrid integrated with highly uncertain plug-in electric vehicles (PEVs) fleet, renewable energy sources, and loads. The two-layer Hi-SEMS scheme aims at optimal scheduling of PEV fleet to counteract the operational uncertainties encountered in real-time operation and minimizing the microgrid daily operating cost comprising the fuel cost and the emission cost. In the proposed work, the realistic behavior of PEVs fleet is modeled using a stochastic trip chain information to accurately forecast the charge/discharge demand taking into account the driver's behavior as foundation. Realistic statistical trip data, multi-location charge/discharge of PEVs fleet to include coupled spatial-temporal dynamics of heterogeneous PEVs fleet is considered for intelligent charge/discharge scheduling. The effectiveness of the proposed strategy is verified on modified LV CIGRE and modified IEEE 33 bus radial distribution test networks and is compared with four different cases on each of the two test systems. The simulation results exhibit that the proposed Hi-SEMS outperforms the other four cases in terms of daily operating cost, the incentive to the PEVs owner, and robustness to multiple uncertainties.
ISSN:1524-9050
1558-0016
DOI:10.1109/TITS.2022.3161953