Method for enhancing operation and maintenance management and control of distribution network equipment
A technology of operation and maintenance management and equipment, which is applied in the field of using data analysis technology to strengthen the operation and maintenance management and control of distribution network equipment, which can solve the problems of lack of equipment condition maintenance, passive emergency repair, and difficulty in accurately predicting equipment failure, so as to improve equipment health Horizontal, early maintenance, increased coverage effect
Pending Publication Date: 2019-10-25
长春电力设计有限公司 +2
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Problems solved by technology
[0004] The technical problem to be solved by the present invention is to provide a method for strengthening the operation and maintenance management and control of distribution network equipment, which is used to solve the difficulty of accurately predicting equipment failures in the operation and maintenance of the existing distribution network, the lack of scientific basis for equipment condition maintenance, and the distribution network. O&M can only be a passive emergency repair work mode and other technical issues
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[0025] A method to strengthen the operation and maintenance management and control of distribution network equipment, such as figure 1 As shown, it includes four layers: grid data layer, database layer, core application module layer, and system function layer. In the figure, the system function realization process is shown from top to bottom, the solid line box shows the applied and built subsystems, and the dotted line box shows the integrated module built by the logic relationship existing in the application. The specific operation steps are as follows,
[0026] Step 1. Establishment of case database
[0027] By collecting geographical information, technical parameters, operation and maintenance information and historical data of power equipment, apply data cleaning and cluster analysis to screen faults, defects and abnormal data, and establish a case database;
[0028] Step 2: Create a power consumption status monitoring diagram
[0029] Using geographic information syst...
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The invention aims at the characteristics of randomness and suddenness of power grid equipment faults. Therefore, the problem is difficult to accurately predict; the invention provides a method for enhancing operation and maintenance management and control of distribution network equipment. The invention belongs to the technical field of power grid equipment operation. Big data technologies such as clustering analysis, machine learning and the like are applied to effectively integrate and mine system data such as an electricity consumption information acquisition system, PMS2.0, D5000 and thelike; data islands among the systems are broken through, an equipment fault prediction model is established according to an adjacent propagation effect analysis theory, the equipment fault occurrenceprobability can be pre-judged in advance, equipment maintenance can be arranged in advance, the power failure frequency and time are reduced, the power supply quality is improved, and the operation and maintenance level of a distribution network is greatly improved. According to the method, an alarm signal is sent out before an equipment fault occurs, the equipment fault is pre-judged in advance,a coping strategy is provided, the big data technology is innovatively applied to predict the possibility that the equipment has faults in future according to historical fault records, and a passive repair working mode is changed into an active repair working mode.
Description
technical field [0001] The invention belongs to the technical field of power grid equipment operation and maintenance, and in particular relates to a method for strengthening the management and control of distribution network equipment operation and maintenance by using data analysis technology. Background technique [0002] At present, because distribution network automation is still under construction, distribution network equipment cannot be fully monitored, and operators cannot effectively obtain equipment operating status information; in addition, grid equipment failures are random and sudden, and conventional prediction methods are difficult to accurately predict . In this context, there are the following pain points in the operation and maintenance of the distribution network. First, it is difficult to accurately predict equipment failures. The previous work method is mainly to passively find faults. Empirical processing takes a lot of time, which affects the efficie...
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IPC IPC(8): G06Q10/00G06Q10/04G06Q50/06
CPCG06Q10/04G06Q10/20G06Q50/06Y04S10/50
Inventor 回俊龙许成哲王晓岩王立宇王亚凡凌云頔王贺新王鹏宇袁林葛玉林丁傲隋龙弟程舒乔孙斌张旺
Owner 长春电力设计有限公司
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