Adjustable load evaluation method of metering automation master station system

The invention discloses an adjustable load evaluation method for a metering automation master station system. The method comprises the following steps: S1, acquiring operation condition data of adjustable load equipment accessed to the metering automation master station system; s2, inputting the col...

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Bibliographische Detailangaben
Hauptverfasser:	LIANG HONGHAO, LI WEIHUA, HE ZHIFAN, JIANG HEFANG
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 adjustable load evaluation method for a metering automation master station system. The method comprises the following steps: S1, acquiring operation condition data of adjustable load equipment accessed to the metering automation master station system; s2, inputting the collected operation condition data of the adjustable load equipment into a constructed and trained prediction model to obtain an operation load prediction result of the adjustable load equipment; s3, evaluating the adjustable load capacity and the time range of the equipment according to the prediction result and the operation characteristics of the equipment; and S4, summarizing the evaluation results of the devices to obtain an adjustable load evaluation result of the region, so that a metering automation master station system performs load management and regulation. According to the invention, different operation conditions of each device are considered, and the device operation load prediction is carried out based