Establishment of Data Mining Frame Algorithm for Remote Control Index of Distribution Network Automation
A distribution network automation and data mining technology, applied in data processing applications, electrical digital data processing, digital data information retrieval, etc., can solve the problem that the correctness and consistency of historical data in the distribution network automation operation system cannot be guaranteed, and the power grid cannot be supervised The department provides scientific, objective and effective index evaluation system and other issues
Active Publication Date: 2021-06-08
SHANGHAI WISCOM SUNEST ELECTRIC POWER TECH
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Problems solved by technology
[0002] The correctness and consistency of the historical data of the distribution network automation operation system have not been guaranteed due to the influence of communication or other equipment and distribution secondary circuit failures, defects, and artificial modification of data by the operating unit.
The existing distribution network automation indicators and evaluation methods are only based on simple and extensive calculations based on original historical data, which cannot provide a scientific, objective and effective index evaluation system for the power grid supervision department.
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[0028] A data mining framework algorithm for establishing distribution network automation remote control indicators proposed by the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. Advantages and features of the present invention will be apparent from the following description and claims.
[0029] see figure 1 , a data mining framework algorithm for establishing distribution network automation remote control indicators, the following steps are performed in sequence:
[0030] S1: Read the distribution network historical section database;
[0031] Specifically, a case analysis is carried out by taking a total of 56,031 records of distribution network operating data under the jurisdiction of Tianjin Power Grid as an example. The historical section database of the distribution network contains the following operating conditions: ⑴The remote control circuit breaker is successful and the automatic c...
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The invention discloses a data mining framework algorithm for establishing distribution network automation remote control indicators, and performs the following steps in sequence: S1: read the distribution network historical section database; S2: use the Apriori algorithm to establish the distribution network historical section database data logic Consistent strong correlation and strong correlation rules; S3: Input the core keywords of distribution network operation indicators, use the corresponding strong correlation and strong correlation rules to check the distribution network historical section database, and intelligently determine the distribution network history that conforms to the rules Record and make statistics; S4: According to the historical records of the distribution network in compliance with the rules, the formula of remote control success rate and the formula of remote control utilization rate, calculate the automatic remote control index of distribution network system operation with statistical significance. This method can extract reliable data information from the massive historical data of the distribution network automation operation system, mine the deep interrelationships between different data categories, and determine the strong correlation and correlation rules between different data categories.
Description
technical field [0001] The invention belongs to the evaluation field of distribution network automation operation system, and in particular relates to a data mining framework algorithm for establishing distribution network automation remote control indicators. Background technique [0002] Affected by communication or other equipment and distribution secondary circuit failures, defects, and artificial data modification by operating units, the correctness and consistency of the historical data of the distribution network automation operation system have not been guaranteed. The existing distribution network automation indicators and evaluation methods are only based on simple and extensive calculations based on original historical data, and cannot provide a scientific, objective and effective index evaluation system for the power grid supervision department. Therefore, how to intelligently extract reliable data information from the low-quality mass data of the distribution ne...
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IPC IPC(8): G06Q10/06G06Q50/06G06F16/2458G06F16/2455
CPCG06Q10/0639G06Q50/06Y04S10/50
Inventor 丁泠允凌万水
Owner SHANGHAI WISCOM SUNEST ELECTRIC POWER TECH