Coordinated optimization scheduling method and system for optical storage and charging, medium and equipment
The invention provides a coordinated optimization scheduling method and system for optical storage and charging, a medium and equipment, and the method comprises the steps: solving a pre-constructed prediction control strategy model according to historical weather data, historical load data and hist...
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| creator | LI TAOYONG CAO XIAOBO ZHANG YUANXING QU FENG ZHAO XUAN LI BIN WANG YALING ZHANG JING YANG XIN DIAO XIAOHONG YANG TIANKUO DONG HAO SHAO DAN HOU LEI JIANG LINRU |
| description | The invention provides a coordinated optimization scheduling method and system for optical storage and charging, a medium and equipment, and the method comprises the steps: solving a pre-constructed prediction control strategy model according to historical weather data, historical load data and historical system operation related data, and obtaining a first scheduling scheme of a first preset time interval; based on current weather data, current load data, system operation related data and the first scheduling scheme, solving the prediction control strategy model through a model prediction controller algorithm to obtain a second scheduling scheme of a second preset time interval; performing optimization scheduling on the optical storage and charging system according to the second scheduling scheme of the second preset time interval; according to the method, the scheduling scheme under the first preset duration interval and the second preset duration interval is solved through the prediction control strategy m |
| format | Patent |
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CAO XIAOBO ; ZHANG YUANXING ; QU FENG ; ZHAO XUAN ; LI BIN ; WANG YALING ; ZHANG JING ; YANG XIN ; DIAO XIAOHONG ; YANG TIANKUO ; DONG HAO ; SHAO DAN ; HOU LEI ; JIANG LINRU</creatorcontrib><description>The invention provides a coordinated optimization scheduling method and system for optical storage and charging, a medium and equipment, and the method comprises the steps: solving a pre-constructed prediction control strategy model according to historical weather data, historical load data and historical system operation related data, and obtaining a first scheduling scheme of a first preset time interval; based on current weather data, current load data, system operation related data and the first scheduling scheme, solving the prediction control strategy model through a model prediction controller algorithm to obtain a second scheduling scheme of a second preset time interval; performing optimization scheduling on the optical storage and charging system according to the second scheduling scheme of the second preset time interval; 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based on current weather data, current load data, system operation related data and the first scheduling scheme, solving the prediction control strategy model through a model prediction controller algorithm to obtain a second scheduling scheme of a second preset time interval; performing optimization scheduling on the optical storage and charging system according to the second scheduling scheme of the second preset time interval; according to the method, the scheduling scheme under the first preset duration interval and the second preset duration interval is solved through the prediction control strategy m</description><subject>CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER</subject><subject>CONVERSION OR DISTRIBUTION OF ELECTRIC POWER</subject><subject>ELECTRICITY</subject><subject>GENERATION</subject><subject>SYSTEMS FOR STORING ELECTRIC ENERGY</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNizsOwjAQBdNQIOAOSw9FPhJ1FIGoqOijlb1JVrK9xt4UcHqiiANQPWnezLZwnUiyHFDJgkRlzx9UlgDZTGRnx2EETzqJBQwW8jsreRgkrbZBB1kl4UjrbSZM45Kclsby7FdIr5mjp6D7YjOgy3T47a443q7P7n6mKD3liIYCad89yvJS1k1TVW39j_MFjXZCTQ</recordid><startdate>20231128</startdate><enddate>20231128</enddate><creator>LI TAOYONG</creator><creator>CAO XIAOBO</creator><creator>ZHANG YUANXING</creator><creator>QU FENG</creator><creator>ZHAO XUAN</creator><creator>LI BIN</creator><creator>WANG YALING</creator><creator>ZHANG JING</creator><creator>YANG XIN</creator><creator>DIAO XIAOHONG</creator><creator>YANG TIANKUO</creator><creator>DONG HAO</creator><creator>SHAO DAN</creator><creator>HOU LEI</creator><creator>JIANG LINRU</creator><scope>EVB</scope></search><sort><creationdate>20231128</creationdate><title>Coordinated optimization scheduling method and system for optical storage and charging, medium and equipment</title><author>LI TAOYONG ; 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based on current weather data, current load data, system operation related data and the first scheduling scheme, solving the prediction control strategy model through a model prediction controller algorithm to obtain a second scheduling scheme of a second preset time interval; performing optimization scheduling on the optical storage and charging system according to the second scheduling scheme of the second preset time interval; according to the method, the scheduling scheme under the first preset duration interval and the second preset duration interval is solved through the prediction control strategy m</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER CONVERSION OR DISTRIBUTION OF ELECTRIC POWER ELECTRICITY GENERATION SYSTEMS FOR STORING ELECTRIC ENERGY |
| title | Coordinated optimization scheduling method and system for optical storage and charging, medium and equipment |
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