Active power distribution network optimization scheduling method for large-scale electric vehicle access

• Main Authors: HE XIFENG, ZHANG SHAOQUAN, DENG CHANGJIAN, XIE XIAONA, ZHANG JIANGLIN, ZHUANG HUIMIN, LIU XINGMAO
• Format: Patent
• Language: Chinese; English
• Published: 21.02.2020
• 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; 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 an active power distribution network optimization scheduling method for large-scale electric vehicle access, and particularly relates to the technical field of power distribution network optimization scheduling, and the method specifically comprises the following steps: S1, a first layer is two-stage optimization scheduling implemented by DEMS; S2, a second layer is real-time scheduling executed by the regional EV-EMS; and S3, optimized scheduling models in each stage are established and solving methods are adopted. According to the invention, the scheduling strategy isoptimized through three stages; day-ahead scheduling and intra-day correction of controllable resources of the power distribution network and real-time control of EVs charging are cooperatively realized; the influence of uncertainty factors such as RES power generation and EVs charging behavior randomness is reduced; by adopting a 'centralized+distributed 'hybrid computing framework, the computing time is greatly reduced