2017 · 14 citations · 26 references
Natural SciencesMathematicsElectric Vehicle EngineeringElectric Vehicle TechnologyOptimizationCharging SystemsDistribution Network PlanningElectricity Load ManagementEnergy Management StrategiesNetwork OptimizationOptimal ControlCharging Load ManagementCharging OptimizationConstraintsControl Of Electric Vehicle ChargingElectric Power Distribution NetworksElectric Power NetworksNetwork ConstraintsSmart Charging
Uncontrolled or improperly controlled electric vehicle (EV) charging can negatively impact electric distribution networks. In this paper, we develop a decentralized event-driven EV charging control scheme to achieve “valley-filling” (i.e., flattening demand profile during overnight charging), meanwhile meeting heterogeneous individual charging requirements and satisfying distribution network constraints. This control scheme is capable of handling EVs' random arrivals and departures. The formulated problem is an optimization problem with a non-separable objective function and strongly coupled inequality constraints. We describe a novel shrunken-primal-dual subgradient (SPDS) algorithm to support the decentralized control scheme, and verify its efficacy and convergence with a simple distribution network model.
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Achieving Controllability of Electric Loads
Duncan S. Callaway, Ian A. Hiskens · Proceedings of the IEEE · 2010 · 1.1K citations