A Decentralized Charging Controlling Strategy for the Electric Vehicle Aggregator Based on the Augmented Lagrangian Method

With the increasing popularity of electric vehicles, decentralized charging controlling strategy for the electric vehicle aggregator is studied in this paper. Considering grid security and electric vehicle charging requirements of distribution network, the centralized charging controlling model for the electric vehicle aggregator is built with the objective of maximum charging revenue for electric vehicle aggregator under the background of time-of-use (TOU) tariff. As to such issues as large communication amount, high communication cost, low computing efficiency and privacy protection caused by the centralized charging controlling model in practical application, a decentralized charging controlling strategy for the electric vehicle aggregator is presented based on the augmented lagrangian method and the alternating direction multiplier method, by which, the electric vehicle can determine its charging plan according to local information. The simulation results show that maximum revenue of electric vehicle aggregator can be obtained by the proposed decentralized charging controlling strategy, and higher calculation efficiency and faster convergence speed will also achieved.