Data-driven power distribution network electric vehicle acceptance capability assessment method

• Main Authors: GAO ZHENYU, YU RONGJIANG, SUN JINGZHUO, XU QIANG, YANG XUAN, YE GANGJIN, YIN JIANBING, WANG JUNHAI, SHANG JIAYI, YE YI, CHEN LIN, WANG MENGHAN, CHEN ZHONGHUA, CHEN ZHIYUAN, HUANG SHUAI, JIANG YIHUI
• Format: Patent
• Language: Chinese; English
• Published: 01.10.2021
• Subjects: CALCULATING; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER; COMPUTING; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; ELECTRICITY; GENERATION; PHYSICS; SYSTEMS FOR STORING ELECTRIC ENERGY; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a data-driven power distribution network electric vehicle acceptance capability assessment method. For the urban power distribution network to which large-scale electric vehicles are accessed in the future, the method can be used for scientifically evaluating the admitting ability of the electric vehicles in the power distribution network. The method comprises the following steps: firstly, carrying out probability modeling on three characteristic variables of three types of urban electric vehicle charging stations through a non-parametric kernel density estimation method, namely charging quantity, charging starting time and charging duration; secondly, modeling on three types of electric vehicle charging loads through Monte Carlo rejection-acceptance sampling; on this basis, building a power distribution network electric vehicle accepting capability evaluation model by taking maximization of the number of electric vehicles accepted by the urban power distribution network as a target. T