Electric vehicle charging load prediction considering the orderly charging
Jiang Tian, Yang Lv, Qi Zhao, Yucheng Gong, Chun Li, Hongen Ding, Yu Yu
Abstract
The prediction of the orderly charging load of electric vehicles is of great significance for planning of charging facilities, analysis of bearing capacity of the distribution network and later rectification and reconstruction. This article proposes a method of charging load prediction based on characteristics of EV charging behavior and nonlinear programming. This article uses Monte Carlo algorithm to predict charging probability and disorderly charging load of EVs, and uses non -linear programming algorithm to solve the optimized target function of orderly charging to achieve the prediction of the orderly charging load of EVs in the region.
Topics & Concepts
Electric vehicleMonte Carlo methodRectificationComputer scienceNonlinear systemLinear programmingAutomotive engineeringMathematical optimizationEngineeringAlgorithmElectrical engineeringVoltageMathematicsPower (physics)StatisticsQuantum mechanicsPhysicsElectric Vehicles and InfrastructureAdvanced Battery Technologies ResearchElectric and Hybrid Vehicle Technologies