Department of Electrical and Computer Engineering; Department of Mechanical Engineering-Engineering Mechanics; Center for Cyber-Physical Systems
While renewable power generation and vehicle electrification are promising solutions to reduce greenhouse gas emissions, it faces great challenges to effectively integrate them in a power grid. The weather-dependent power generation of renewable energy sources, such as Photovoltaic (PV) arrays, could introduce significant intermittency to a power grid. Meanwhile, uncontrolled PEV charging may cause load surge in a power grid. This paper studies the optimization of PEV charging/discharging scheduling to reduce customer cost and improve grid performance. Optimization algorithms are developed for three cases: 1) minimize cost, 2) minimize power deviation from a pre-defined power profile, and 3) combine objective functions in 1) and 2). A Microgrid with PV arrays, bi-directional PEV charging stations, and a commercial building is used in this study. The bi-directional power from/to PEVs provides the opportunity of using PEVs to reduce the intermittency of PV power generation and the peak load of the Microgrid. Simulation has been performed for all three cases and the simulation results show that the presented optimization algorithms can meet defined objectives.
Smart Grid and Renewable Energy
Optimal scheduling of PEV charging/discharging in microgrids with combined objectives.
Smart Grid and Renewable Energy,
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/696
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
© 2016 by authors and Scientific Research Publishing Inc. Article deposited here in compliance with publisher policy. Publisher's version of record: https://doi.org/10.4236/sgre.2016.74008