Abnormity early warning method and system based on distributed energy management
A distributed energy and abnormal technology, applied in the direction of resources, data processing applications, instruments, etc., can solve the problems of reduced energy supply efficiency, timely perception of abnormal node parameters, energy waste, etc., to achieve the effect of improving energy supply efficiency
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Embodiment 1
[0030] Please see attached figure 1 , the present invention provides an abnormal early warning method based on distributed energy management, the method specifically includes the following steps:
[0031] Step S100: obtaining the energy service coverage of the target enterprise, wherein the energy service coverage includes the number of demand users;
[0032] Step S200: Based on the number of demand users, collect historical power consumption data within the service coverage to obtain a historical power consumption data set;
[0033] Specifically, distributed energy is an energy supply method built on the user side, which can be operated independently or in connection with the grid. It is a system that maximizes resource and environmental benefits to determine the method and capacity, and combines the various energy needs of users. As well as the resource allocation status, the system is integrated and optimized, and the new energy system with demand-responsive design and mod...
Embodiment 2
[0084] Based on the same inventive concept as the abnormal early warning method based on distributed energy management in the foregoing embodiment, the present invention also provides an abnormal early warning system based on distributed energy management. Please refer to the appendix Figure 5 , the system includes:
[0085] a first obtaining unit 11, the first obtaining unit 11 is configured to obtain the energy service coverage of the target enterprise, wherein the energy service coverage includes the number of demand users;
[0086] a first collection unit 12, the first collection unit 12 is configured to collect historical power consumption data within the service coverage based on the number of demand users, and obtain a historical power consumption data set;
[0087] a first analysis unit 13, which is configured to obtain historical power consumption abnormal probability information by performing visual traversal analysis on the historical power consumption data set;
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