Parallel association rule mining-based method for predicting running reliability of power distribution network

A reliability and distribution network technology, applied in forecasting, electrical digital data processing, special data processing applications, etc., can solve the problems of difficult data processing tool processing, large data structure and other problems, reduce the dimension of input data, simplify Modeling difficulty, the effect of reducing modeling difficulty

Inactive Publication Date: 2017-02-22
CHINA ELECTRIC POWER RES INST +2
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Problems solved by technology

In addition to the large amount of historical and real-time data required for operational feasibility assessment, due to the large amount of data and different structures, it is difficult to process it with traditional data processing tools

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  • Parallel association rule mining-based method for predicting running reliability of power distribution network
  • Parallel association rule mining-based method for predicting running reliability of power distribution network
  • Parallel association rule mining-based method for predicting running reliability of power distribution network

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Embodiment Construction

[0035] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0036] The distribution network operation reliability prediction proposed in the present invention is based on a large amount of real-time operation data provided by the RTU / SCADA / EMS system, considering the influence of changes in the health status of the equipment itself, external environmental conditions, system operation conditions and system operation behavior on the system reliability. To study the short-term reliability of the system in the current state, give the system’s operation reliability index in real time, based on the evaluation results, quantitatively analyze the key factors affecting the system reliability, quickly find the weak components and weak links of the system, and ensure the distribution The grid operates economically and reliably. The prediction method proposed in the present invention is based on the evaluation requirements of the...

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Abstract

The invention provides a parallel association rule mining-based method for predicting running reliability of a power distribution network. The method comprises the steps of 1, extracting related data from multi-source heterogeneous power distribution big data according to running reliability assessment demands; 2, mining related factors which influence the running reliability by adopting a parallel association rule mining method, and building an ''influence factor-running reliability index relevance model''; 3, obtaining a main influence factor as an input of an artificial neural network, and building an ''influence factor-running reliability index quantitative calculation model'' based on historical running conditions and running reliability parameters; and 4, taking real-time running condition data as an input of the artificial neural network, and predicting a running reliability index value in a corresponding running condition. According to the method, the main factor which influences a reliability index is accurately located, so that the input data dimensions of an assessment model are reduced, and the modeling difficulty is lowered.

Description

technical field [0001] The invention relates to a method for predicting the operation reliability of a distribution network, in particular to a method for predicting the operation reliability of a distribution network based on parallel association rule mining. Background technique [0002] The reliability of distribution network operation refers to the uninterrupted supply of power distribution network to users in a short period of time according to acceptable quality standards and required quantities when it involves the health status of equipment itself, external environmental conditions, system operating conditions and system operation behavior. The measurement of power and electricity capacity, and the reliability prediction of distribution network operation are to obtain the reliability index of distribution system under a given time scale and operating conditions through analysis and calculation. The reliability assessment of distribution network operation can realize ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q10/04G06Q50/06
CPCG06F16/2465G06Q10/04G06Q50/06
Inventor 胡丽娟刘科研刁赢龙盛万兴孟晓丽贾东梨何开元叶学顺董伟杰唐建岗李雅洁
Owner CHINA ELECTRIC POWER RES INST
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