A Novel Decentralized Load Scheduling Algorithm for Electrical Vehicles in Smart Grid

Authors

  • Ubaid Ur Rehman The University of Lahore

Abstract

This paper illustrates the deployment of a load scheduling technique for electric vehicles (EVs) charging and discharging by introducing optimal control in a scattered network. We predict that power flow between EVs and utility grid is multi-directional, e.g., EVs can supply power to grid in reverse as the scattered energy source, this phenomenon is called vehicle to grid (V2G). The finest scheduling algorithm is created as a varied discrete program (VDP) constraint. That is NP-hard and enormously complex to compute. Therefore, to overcome this complexity, we have proposed a technique to compute the VDP constraint by altering the basic load profile curve during night hours, and designed a scattered algorithm to reiterate water-filling. This algorithm executes in decentralization manners and effectively schedules EVs charging/discharging in local areas where aggregators are available. Owner’s security enhancement and reduced computational load are the major benefits of our proposed algorithm; the performance of this algorithm is verified by simulations.

Author Biography

Ubaid Ur Rehman, The University of Lahore

Research Scholar at the Department of Electrical Engineering, The University of Lahore, Islamabad

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Published

2020-07-15

Issue

Section

Electrical Engineering