CN-121998432-A - Tidal current information comparison and analysis method and system supporting multi-source heterogeneous data

CN121998432ACN 121998432 ACN121998432 ACN 121998432ACN-121998432-A

Abstract

The invention provides a trend information comparison analysis method and system supporting multisource heterogeneous data, which belong to the technical field of data analysis, and concretely comprise the steps of determining a comparison analysis processing strategy of trend information according to composition data of measuring equipment of different abnormal risk types in an estimation equipment combination and combining the measuring equipment data of the estimated equipment combination and a target risk type, determining an available estimation equipment combination based on the comparison analysis processing strategy and combining coincident data of the measuring equipment in the available estimation equipment combination, determining concerned measuring equipment in the measuring equipment, and determining real-time comparison analysis combination in the estimation equipment combination based on the concerned measuring equipment data, the comparison analysis processing strategy of the trend information and distribution data of the measuring equipment of the type of risk type in the estimation equipment combination without the concerned measuring equipment, so that accuracy of a trend calculation result is improved.

Inventors

YU YUE
SHI JINJIN
YANG XIAO
WU QIWEI
CHEN CHONG
HU QIUXIANG

Assignees

国网江苏省电力有限公司综合服务中心
国网江苏省电力有限公司超高压分公司
国网江苏省电力有限公司
南京南瑞信息通信科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260129

Claims (10)

1. A tide information comparison and analysis method supporting multi-source heterogeneous data is characterized by comprising the following steps: determining deviation conditions of power flow monitoring data of the measuring equipment based on comparison analysis data of power flow information based on multi-source heterogeneous data, and determining abnormal risk types of the measuring equipment based on the deviation conditions; Based on measuring equipment except for measuring equipment of a target risk type, constructing an estimated equipment combination of trend information, and determining a comparison analysis processing strategy of the trend information by combining the estimated equipment combination and the measuring equipment data of the target risk type according to the composition data of the measuring equipment of different abnormal risk types in the estimated equipment combination; And determining available estimated equipment combinations based on a comparison analysis processing strategy, determining concerned measuring equipment in the measuring equipment by combining coincidence data of the measuring equipment in the available estimated equipment combinations, and determining real-time comparison analysis combinations in the estimated equipment combinations based on the concerned measuring equipment data, the comparison analysis processing strategy of tide information and distribution data of measuring equipment of a type of risk type in the estimated equipment combinations without the concerned measuring equipment.
2. The method for comparing and analyzing power flow information supporting multi-source heterogeneous data according to claim 1, wherein the comparison and analysis data of the power flow information comprises comparison processing results of power flow calculation data obtained by different equipment combinations.
3. The method for comparing and analyzing tide information supporting multi-source heterogeneous data according to claim 1, wherein the deviation condition of the tide monitoring data is determined according to the deviation condition with tide calculation data.
4. The method for comparing and analyzing tide information supporting multi-source heterogeneous data according to claim 1, wherein the method for determining the abnormal risk type of the measuring device is as follows: determining the abnormal times of the power flow monitoring data of the measuring equipment according to the deviation condition of the power flow monitoring data and the power flow calculation data of the measuring equipment, and taking the abnormal times as the abnormal times of the measuring data; and determining the abnormal risk type of the measuring equipment based on the abnormal times of the measurement data.
5. The method for comparing and analyzing tide information supporting multi-source heterogeneous data according to claim 4, wherein the abnormal times of the measurement data are determined according to the times that tide calculation data are accurate and tide monitoring data are inconsistent with the tide calculation data.
6. The method for comparing and analyzing tide information supporting multi-source heterogeneous data according to claim 1, wherein the estimating device combination of tide information is constructed by measuring devices except for measuring devices of target risk types, and is specifically determined by all measuring device combinations capable of calculating tide information.
7. The method for comparing and analyzing tide information supporting multi-source heterogeneous data according to claim 1, wherein the method for determining the comparing and analyzing treatment strategy of the tide information is as follows: Determining the number of estimated device combinations based on the estimated device combination data; Determining one type of risk type measuring equipment in the estimation equipment combination according to the composition data of the measuring equipment of different abnormal risk types in the estimation equipment combination; And determining a comparison analysis processing strategy of the tide information according to the number of the estimated equipment combinations, the number of the target risk type measuring equipment and one type of risk type measuring equipment in different estimated equipment combinations.
8. The method for comparing and analyzing power flow information supporting multi-source heterogeneous data according to claim 7, wherein the comparing and analyzing processing strategy for determining the power flow information by using a preset number comprises: based on the number of the measuring devices of one type of risk type in the estimating device combination, sorting from less to more, and dividing the estimating device combination into groups with preset number according to the sequence; And selecting one estimation equipment combination from each group in sequence each time to carry out estimation processing of the tide information to obtain an estimation processing result, and carrying out comparison analysis processing by utilizing the estimation processing result and tide monitoring data.
9. The method for comparing and analyzing tide information supporting multi-source heterogeneous data according to claim 1, wherein the method for determining the real-time comparison and analysis combination in the estimating device combination is as follows: determining the number of the measurement devices of interest based on the measurement device data of interest; determining the number of estimated equipment combinations for carrying out comparative analysis processing of the tide information based on the comparative analysis processing strategy of the tide information; And determining real-time comparison analysis combination in the estimation equipment combination based on the equipment of the attention measurement equipment, the number of the estimation equipment combination for comparison analysis processing of the tide information and the distribution data of the measurement equipment of a type of risk type in the estimation equipment combination without the attention measurement equipment.
10. A computer system comprising a memory and a processor in communication, and a computer program stored on the memory and capable of running on the processor, wherein the processor, when running the computer program, performs a method of tidal current information comparison analysis supporting multi-source heterogeneous data according to any of claims 1-9.

Description

Tidal current information comparison and analysis method and system supporting multi-source heterogeneous data Technical Field The invention belongs to the technical field of data analysis, and particularly relates to a tide information comparison analysis method and system supporting multi-source heterogeneous data. Background With the rapid development of smart grids and energy internet, the operation monitoring and analysis of power systems face the challenge of multi-source heterogeneous data fusion. The tide information is used as a core representation of the running state of the power grid, tide calculation processing is needed to be carried out by combining measuring equipment which comes from different sources and belongs to heterogeneous data, but the following technical problems exist in the prior art: When carrying out the tide calculation processing, because the equipment reliability of the measuring equipment of different sources has the difference, how to carry out partial removal processing of the measuring equipment when carrying out the tide calculation processing is caused, and according to the measurement equipment combination data which can carry out the tide information calculation processing after the removal processing, the determination of a comparison analysis scheme is carried out, thereby improving the accuracy of the calculation result on the basis of reducing the difficulty of the tide calculation analysis processing is a technical problem to be solved urgently. In order to solve the technical problems, the application provides a tide information comparison and analysis method and system supporting multi-source heterogeneous data. Disclosure of Invention In order to achieve the purpose of the invention, the invention adopts the following technical scheme: Specifically, the application provides a tide information comparison and analysis method supporting multi-source heterogeneous data, which specifically comprises the following steps: s1, determining deviation conditions of power flow monitoring data of measuring equipment based on comparison analysis data of power flow information based on multi-source heterogeneous data, and determining abnormal risk types of the measuring equipment based on the deviation conditions; S2, constructing an estimated equipment combination of the tide information based on measuring equipment except for the measuring equipment of the target risk type, and determining a contrast analysis processing strategy of the tide information by combining the estimated equipment combination and the measuring equipment data of the target risk type according to the composition data of the measuring equipment of different abnormal risk types in the estimated equipment combination; s3, determining available estimated equipment combinations based on the comparison analysis processing strategies, determining concerned measuring equipment in the measuring equipment by combining coincidence data of the measuring equipment in the available estimated equipment combinations, and determining real-time comparison analysis combinations in the estimated equipment combinations based on the concerned measuring equipment data, the comparison analysis processing strategies of tide information and distribution data of measuring equipment of a type of risk type in the estimated equipment combinations without the concerned measuring equipment. The invention has the beneficial effects that: Based on deviation conditions, the abnormal risk type of the measuring equipment is determined, the system aims to intelligently identify and classify and position the measuring equipment (such as PMU, intelligent ammeter, voltage-current transformer and the like) which possibly drift, malfunction or is interfered by continuously comparing massive real-time monitoring data with theoretical calculation data, so that hidden data quality problems are explicit and risk-classified, key input is provided for the reliability improvement of follow-up accurate maintenance, data cleaning and state estimation, and the influence degree of measuring equipment with higher risk on the accuracy of tide calculation results is reduced. Based on the comparison analysis processing strategy, the available estimation equipment combination and the coincidence data of the measuring equipment in the available estimation equipment combination are determined, the concerned measuring equipment in the measuring equipment is determined, the inherent redundancy structure and the vulnerability of the whole measuring system are obtained through the constitution relation of a plurality of reliable combinations, and accordingly, single concerned measuring equipment which is crucial to maintaining the overall estimation reliability of the system is dynamically and intelligently identified, wherein the equipment is a key node of a system state sensing network, and the running state of the equipment needs to be monitored in a key mode