Cost Consensus Algorithm Applications for EV Charging Station Participating in AGC of Interconnected Power Grid

Abstract

In order to more effectively reduce the regulation costs of power grids and to improve the automatic generation control (AGC) performance, an optimization mathematical model of generation command dispatch for AGC with an electric vehicle (EV) charging station is proposed in this paper, in which a cost consensus algorithm for AGC is adopted. Particularly, virtual consensus variables are applied to exchange information among different AGC units. At the same time, the actual consensus variables are utilized to determine the generation command, upon which the flexibility of the proposed algorithm can be significantly enhanced. Furthermore, the implement feasibility of such an algorithm is verified through a series simulation experiments on the Hainan power grid in southern China, where the results demonstrate that the proposed algorithm can effectively realize an autonomous frequency regulation of EVs participating in AGC.

Intelligent Energy Management of Electrical Power Systems

“…Based on mixed-integer linear procedure, [8] suggests the optimal operation planning of a DC microgrid supplying EVs optimizing daily operational costs considering the PV production and EVs exploitation forecast. On the other hand, EVs changing station may help the power grid to improve the automatic generation control performance by cost consensus algorithm applications [9] or to minimize the load peak by adopting an intelligent scheduling system [10].…”