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This paper investigates a decentralized optimization methodology tocoordinate Electric Vehicles (EV) charging in order to contribute to thevoltage control on a residential electrical distribution feeder. This aims tomaintain the voltage level in function of the EV's power injection using thesensitivity matrix approach. The decentralized optimization is tested with twodifferent methods, respectively global and local, when EV take into accounttheir impact on all the nodes of the network or only on a local neighborhood oftheir connection point. EV can also update their decisions asynchronously orsynchronously. While only the global approach with asynchronous update istheoretically proven to converge, using results from game theory, simulationsshow the potential of other algorithms for which fewer iterations or fewerinformations are necessary. Finally, using Monte Carlo simulations over a widerange of EV localization configurations, the first analysis have also shown apromising performance in comparison with uncoordinated charging or with a"voltage droop charging control" recently proposed in the literature.

Introducing Decentralized EV Charging Coordination for the Voltage Regulation