6 Concluding remarks
6.1 Summary
We formulate an optimal scheduling problem for battery swapping in a microgrid that assigns to each EV a best station to swap its depleted battery based on its current location and state of charge. The schedule aims to minimize a weighted sum of EVs’ travel distance and electricity generation cost over both station assignments and power flow variables, subject to EV range constraints, grid operational constraints, and AC power flow equations. Three representative linearization or convex relaxation methods are discussed for modeling the power flows on the microgrid, based on which we then propose both centralized and distributed solutions to handle the binary nature of station assignments. The centralized ...
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