Electric vehicle V2G resource regulation and control method and system based on rolling optimization

The invention discloses an electric vehicle V2G resource regulation and control method and system based on rolling optimization, and the method comprises the steps: predicting power grid data in a scheduling time period according to a preset scheduling time period, and constructing a comprehensive c...

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Hauptverfasser:	FANG XIANG, WU SHUNYU, SHANG ZEYU, ZHOU JIZHOU, WU HAO, HE YUEHAO, WU KUAN, QIAN YAN, WU QIONG, HONG XIAO, GAO PENG, MAO YISHENG, JIANG NING, SHEN LI, XIANG XINYU, LI YINGYING, KIM IL-YU, LI QINGXUE, XUE YOU, LI YA, ZHOU YAN, SUN WEITING, PAN YICHEN, XU JINGWEN, GONG CHENGYAO, GUO DAQI, MA DI, LYU YILING, KIM JEONG-KOON, XIA LIN, MA CHUANG, WANG FENG, JIANG JING
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS 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
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Beschreibung
Zusammenfassung:	The invention discloses an electric vehicle V2G resource regulation and control method and system based on rolling optimization, and the method comprises the steps: predicting power grid data in a scheduling time period according to a preset scheduling time period, and constructing a comprehensive constraint condition; according to the comprehensive constraint condition, taking the minimum charge and discharge loss and the maximum load penalty of the user as objective functions, and constructing an electric vehicle V2G regulation and control optimization model; when a V2G vehicle is accessed, an optimal regulation and control result is solved through the electric vehicle V2G regulation and control optimization model; and performing V2G resource regulation and control according to the optimal regulation and control result. According to the invention, the peak power grid load can be effectively transferred while the self-charging requirement of the electric vehicle is met, the operation efficiency of the power