Coordinated integration of distributed energy resources in unit commitment
نویسندگان
چکیده
Distributed energy resources, such as electric vehicles and roof-top solar panels have become increasingly popular essential components of power distribution systems. However, their growth poses significant challenges to system operation, bidirectional flow, intermittent generation, increased peak demand, unexpected frequency/voltage fluctuation. To tackle these challenges, we developed a vehicle-to-grid model, which incorporated dynamic usages, driving times, distance, charging/discharging locations. The machine learning method principal component analysis XGBoost were used develop the prediction model. We also novel unit commitment model coordinate aggregate distributed resources in generation economic dispatch. Electric vehicle charging was elastic demand discharging sources. considered negative load. Simulation results showed that uncontrolled could negatively impact For example, load ramping rate by 384%. proposed models mitigate improve efficiency. average cost reduced 21%, 79%, 27%. • (EV) locations, are modeled. incorporates application prediction. can be integrate high-level penetration EV renewable into reduce costs integration.
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DISCLAIMER This report was prepared as the result of work sponsored by the California Energy Commission. It does not necessarily represent the views of the Energy Commission, its employees or the State of California. The Energy Commission, the State of California, its employees, contractors and subcontractors make no warrant, express or implied, and assume no legal liability for the information...
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ژورنال
عنوان ژورنال: International Journal of Electrical Power & Energy Systems
سال: 2023
ISSN: ['1879-3517', '0142-0615']
DOI: https://doi.org/10.1016/j.ijepes.2022.108671