Application promotion method of distribution automation based on multi-source data of operation, allocation and dispatching

Abstract

The invention relates to a marketing, power distribution and scheduling multi-source data based power distribution automation application improving method. The method comprises the steps of S1, building a marketing, power distribution and scheduling integrated model in a secure III region, that is to say, synchronizing high and medium voltage distribution network models to the III region by an I-region power distribution automation main station system and accessing a low-voltage device and a user information model from a marketing system or a data center through an information interaction bus to facilitate access of multi-source data of the power distribution network; S2, multi-source data based load calibration of carrying out load calibration for usage collection data uploaded by an electricity usage information collection system and power distribution SCADA data uploaded by a power distribution automation main station system, wherein the load calibration comprises static load calibration and topological calibration; and S3, analyzing the running trend of a distribution transformer through a super-short-term load forecasting method based on the load calibration result in the step S2 to forecast the power distribution data at each SCADA measurement moment within a usage collection measurement interval. The marketing, power distribution and scheduling multi-source data based power distribution automation application improving method can provide monitoring data which are most approximate to the real system operation and satisfies the requirement on online calculation of the power distribution application function.

Description

technical field [0001] The invention belongs to the technical field related to application analysis of a distribution network control system, and in particular relates to a distribution automation application promotion method based on multi-source data of operation, distribution and adjustment. Background technique [0002] The master station system of distribution automation is an integrated system that crosses safety zones I and III. However, due to the long-term independent construction of marketing, power distribution, and dispatching business systems, the information from different angles of the distribution network is naturally separated, which limits the power supply. Business further improved. At present, the distribution automation master station technology has achieved certain results after long-term efforts in development and construction, but there are still gaps in general: the cloud computing / big data platform technology has just started, the informatization fo...

AI Technical Summary

Problems solved by technology

[0007] The distribution automation master station system is limited by its own insufficient measurement, and the practicality of advanced application functions is low. There are already manufacturers who have access to the distribution automation master station system and have not carried out integrated modeling of operation, distribution and deployment. Through the corresponding relationship table between the station area code and the distribution transformer, the current master station data is directly overwritten when the user data is received, and the equipment association relationship between the systems cannot be updated in time when the model changes, which will cause some data between the systems to be unable to match.

In addition, the difference in the measurement methods of the two systems is not considered when accessing the data. The cycle start time interval of the advanced application software of the distribution network can only be based on the data interval, so it still cannot meet the cycle requirements of the online calculation of the advanced application of the distribution network. , and the data of the power distribution master station at multiple moments during the period did not participate in the calculation, which caused waste and did not fully integrate the data between systems

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