Electric automobile large-scale charging demand prediction method based on Monte Carlo simulation method

• Main Authors: PANG YIJUN, LU KUAN, LI ZHAO, YANG SHENQUAN, LI KAI, FENG LIANG, CAO PUJIA, ZHENG ZHIJIE, WU KUIHUA, FENG XU, LIANG RONG, YANG BO, DENG SHAOZHI, ZHANG WEN
• Format: Patent
• Language: Chinese; English
• Published: 04.01.2017
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses an electric automobile large-scale charging demand prediction method based on a Monte Carlo simulation method. The electric automobile large-scale charging demand prediction method comprises the following steps that an electric automobile slow charging demand prediction model and a rapid charging prediction model are established respectively, slow charging power expectation and rapid charging power expectation of a single electric automobile in a day are acquired, and the Monte Carlo simulation method has certain randomness so that repeated and multiple times of tests require to be performed and then averaging is performed to ensure the accuracy of prediction, and thus a large-scale electric automobile charging demand characteristic curve of a planned area is further obtained. The actual charging demands of users are recovered step by step through a large number of simulation tests so that the model-reality difference can be effectively reduced, the accuracy of prediction can be enhanc