Optimized scheduling method and device based on multi-time-scale stepped carbon transaction mechanism

Optimized scheduling method and device based on multi-time-scale stepped carbon transaction mechanism

The invention discloses an optimal scheduling method and system based on a multi-time-scale stepped carbon transaction mechanism, and the method comprises the steps: determining the carbon quota and interval length of intra-day scheduling and real-time scheduling, and building a multi-time-scale ste...

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Hauptverfasser: ZHOU YAYI, HE JUNWEN, LIU YAO, HUANG MINGLEI, XING XUBIN, SONG WEIJIE, GU YANXUN, LAN WEI, ZHANG SHUO, HUANG XIAOYING, CAO JIAN, LIAO ZHIGE
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Zusammenfassung:The invention discloses an optimal scheduling method and system based on a multi-time-scale stepped carbon transaction mechanism, and the method comprises the steps: determining the carbon quota and interval length of intra-day scheduling and real-time scheduling, and building a multi-time-scale stepped carbon transaction model according to a day-ahead scheduling result, the carbon quota and interval length of intra-day scheduling and real-time scheduling; according to an actual scheduling result, respectively correcting carbon quotas and interval lengths of intra-day scheduling and real-time scheduling, and establishing a multi-time-scale stepped carbon transaction correction model; according to real-time data of the system, the multi-time-scale stepped carbon transaction correction model and the established multi-time-scale stepped carbon transaction rolling coordination scheduling model, solving layer by layer to obtain a real-time optimization result, and according to the real-time optimization result, pe