Power grid equipment state evaluation method based on time sequence information fragment cloud similarity measurement
A technology for information fragmentation and power grid equipment, which is applied to instruments, data processing applications, resources, etc., and can solve problems such as data deviation, excessive time series data, and information islands.
Active Publication Date: 2019-05-21
南京首风智慧电力研究院有限公司
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[0006] The present invention provides a grid equipment state assessment method based on time series information fragment cloud similarity measurement, which is used to solve the defects of the online monitoring time series data itself, such as excessive data volume, information island, data deviation, etc., and the existing power grid equipment state assessment method cannot Timely and accurate evaluation of equipment status
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[0052] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0053] In describing the present invention, it should be understood that the terms "center", "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", " The orientations or positional relationships indicated by "vertical", "horizontal", "top", "bottom", "inner" and "outer" are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and Simplified descriptions, rather than indicating or implying that the device or element referred to must have a particular orientation, be constructed and operate in a particular orientation, and thus should not be construed as limiting the invention. In addition, the terms "first" and "second" are used for descriptive purposes only, and cannot be interpreted as indicating or implying relative import...
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The invention discloses a power grid equipment state evaluation method based on time sequence information fragment cloud similarity measurement. On-line monitoring time sequence data dependent on power grid equipment state evaluation has the problems of large monitoring data size, lack of information sharing among monitoring parameters, noise and deviation of the monitoring data obtained in a severe environment and the like. The evaluation method provided by the invention utilizes expectation. The online monitoring data are described by entropy and hyper-entropy. A weighted cloud similarity measurement and probability output method is adopted. Fusionanalysis is carried out on each parameter used for describing the state of the power grid equipment. The problem that power grid on-line monitoring time sequence data is too large in data size is solved. The power grid equipment state evaluation method can be used for evaluating the real-time state of the power grid equipment in a targetedmanner, so that the safe and normal operation of a power system is further guaranteed.
Description
technical field [0001] The invention belongs to the technical field of power grid equipment state evaluation, and in particular relates to a power grid equipment state evaluation method based on time series information segment cloud similarity measurement. Background technique [0002] With the vigorous development of artificial intelligence, the combination of intelligent technology and power system has become a trend. Applying intelligent algorithms to the status evaluation of grid equipment can deeply mine the operation data of grid equipment, know the historical and current operating status of grid equipment, and guide the formulation of maintenance strategies for grid equipment, so as to avoid the occurrence of grid equipment failure and extend the power grid The operating life of the equipment is to ensure the safe and stable operation of the power grid. [0003] At present, in the field of power system technology, the state assessment of power grid equipment is mainl...
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Inventor 司刚全郑凯曹晖贾立新张彦斌
Owner 南京首风智慧电力研究院有限公司