Distributed resource data processing method and device and electronic equipment

Distributed resource data processing method and device and electronic equipment

The invention discloses a distributed resource data processing method and device and electronic equipment. The method comprises the steps that a distributed power supply model and an adjustable load model are constructed, the distributed power supply model is a model constructed based on operation s...

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Bibliographische Detailangaben
Hauptverfasser: XU KAI, HAN XIAODONG, ZHANG MIN, ZHANG XIAOJIAO, WANG NING, YAO XU, DONG NING, XUAN ZHENWEN, TANG FANLIN, WANG SONG, CHEN YANXIA, CHEN JIABO
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER
COMPUTING
CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
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 a distributed resource data processing method and device and electronic equipment. The method comprises the steps that a distributed power supply model and an adjustable load model are constructed, the distributed power supply model is a model constructed based on operation state information corresponding to a plurality of distributed power supplies, and the adjustable load model is a model constructed based on operation characteristics corresponding to a plurality of adjustable loads; the model is constructed according to similar characteristics among a plurality of adjustable load resources; carrying out aggregation processing on the distributed power supply model and the adjustable load model to obtain a distributed resource monomer model; constructing a scheduling model and an operation model; and performing aggregation processing on the scheduling model, the operation model and the distributed resource aggregation model to obtain a target aggregation result distributed resource ag