Electric vehicle and agent bidding method thereof

• Main Authors: LIU SHU, ZHANG QIUQIAO, WANG MIN, FANG CHEN, LIU WEIYANG, BAO HAILONG, WANG HAOJING, SHI SHANSHAN, WANG BING, ZHOU JIAN
• Format: Patent
• Language: Chinese; English
• Published: 07.09.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses an electric vehicle and an agent bidding method thereof. The method comprises the following steps: S1, clustering user travel time and classifying the initial residual electric quantity of the electric vehicle by using a K-means clustering algorithm and a quartile method; S2, establishing an electric vehicle user and agent bidding interaction model, and integrating large-scale charging and discharging resources; S3, establishing a bidding interaction model between the agent and a power dispatching center, wherein the power dispatching center aims at optimizing the load of a power grid and optimizing the benefit of a power grid company to reduce the operation cost of the system; S4, providing an electric vehicle agent bidding algorithm based on double-layer optimization, taking the charging and discharging electricity price and the electric quantity obtained through electricity market bidding as an outer-layer optimization model, taking the benefit balance among the market subjects as a