Energy management algorithm applied to 10kV charging station

The invention discloses an energy management algorithm applied to a 10kV charging station. The energy management algorithm comprises the steps of predicting photovoltaic output, other loads of a charging station system and EV load data of a complete scheduling period in the future based on a random...

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Hauptverfasser:	ZHANG LEQUN, MA LUNING, CAO QIANLEI, FAN JIANHUA, LI BAO'AN, XU PENGFEI, YIN HUAIQIANG, YANG SEN, QIU HUIDONG, WANG WEIQIANG
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING ELECTRIC EQUIPMENT OR PROPULSION OF ELECTRICALLY-PROPELLEDVEHICLES ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES, IN GENERAL MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES PERFORMING OPERATIONS PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR TRANSPORTING VEHICLES IN GENERAL
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Beschreibung
Zusammenfassung:	The invention discloses an energy management algorithm applied to a 10kV charging station. The energy management algorithm comprises the steps of predicting photovoltaic output, other loads of a charging station system and EV load data of a complete scheduling period in the future based on a random forest algorithm and historical data; operating an ESS day-ahead scheduling algorithm, and obtaining an optimal SOC time-sharing distribution strategy of the ESS in the next complete scheduling period; operating the ESS real-time scheduling algorithm at the ESS real-time scheduling operation time point, and configuring the optimal charging and discharging strategy of the residual scheduling time slot for the ESS; carrying out information interaction through handshake operation of the charging pile and the EV, and recording SOC and inbound time information of the vehicle; and optimizing the CP charging power of all scheduling time slots in the time period from the initial state to the full charging state of the EV.