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Method and system for analyzing power consumption behaviors of users
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An analysis method and analysis system technology, applied in the analysis method and system field of user electricity consumption behavior, to achieve the effect of improving the economic benefits of the power grid
Inactive Publication Date: 2018-11-09
SHANGHAI ELECTRIC DISTRIBUTED ENERGY TECH CO LTD
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[0005] The technical problem to be solved by the present invention is to provide an analysis method and system for users’ electricity consumption behavior in order to overcome the defects of certain limitations in object-oriented, analysis content and application of the prior art user’s electricity consumption behavior analysis method
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Embodiment 1
[0062] like figure 1 As shown, the analysis method of the user's electricity consumption behavior in this embodiment includes the following steps:
[0063] Step 101, acquiring power consumption data.
[0064] Specifically, the historical power consumption data (that is, load data) of various types of users is collected through the data collection system. The electricity consumption data includes the following parameters: daily electricity consumption, daily maximum load, daily minimum load, daily average load, daily average load rate, peak-to-valley electricity consumption, peak-to-valley average load, peak-to-valley electricity consumption ratio, daily peak Poor valley power consumption, etc. For microgrid users, the power generation and environmental parameters of the microgridsystem can also be collected (irradiation, temperature, humidity, wind speed and other data collected by environmental measuring instruments).
[0065] Step 102, cleaning and formatting the electri...
Embodiment 2
[0143] like image 3 As shown, the analysis system of user electricity consumption behavior in this embodiment includes: a data collection module 1 , a feature extraction module 2 , an analysis module 3 , a behavior feature determination module 4 , a processing module 5 and a policy generation module 6 .
[0144] The data collection module 1 is used to obtain historical electricity consumption data of users. Among them, the power consumption data includes the following parameters: daily power consumption, daily maximum load, daily minimum load, daily average load, daily average load rate, peak-to-peak valley power consumption, peak-to-valley average load, peak-to-valley power consumption ratio, Daily peak and valley electricity consumption is poor, etc. For microgrid users, the power generation and environmental parameters of the microgrid system can also be collected (irradiation, temperature, humidity, wind speed and other data collected by environmental measuring instrumen...
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Abstract
The invention discloses a method for analyzing the power consumption behaviors of users, and the method comprises the steps: S1, acquiring power consumption data; S2, extracting a power behavior characteristic index according to the power consumption data; S3, analyzing the type of a user according to the power behavior characteristic index; S4, determining the user behavior characteristics according to the power behavior characteristic index and the type of the user. The method achieves the accurate and complete analysis of the power consumption behaviors of the user through extracting different power consumption characteristics from the power consumption data, achieves the clearer understanding of the change rule of the power consumption behavior with the seasons and time, provides a reference for the proposing of an energy-saving environment protection suggestion, the formulating of a personalized marketing scheme and the formulating of an energy dispatching strategy of a microgrid,and improves the economic benefits of a power grid.
Description
technical field [0001] The invention relates to the field of electric power technology, in particular to an analysis method and system for user electricity consumption behavior. Background technique [0002] User electricity consumption data not only has the characteristics of mass, high frequency, and dispersion, but also has correlation and similarity among the data. The user's electricity consumption behavior is hidden in the user's electricity consumption data. Mining these electricity consumption data and studying the user type can help the power grid understand the user's personalized and differentiated service needs, so that the power grid company can further expand the depth of service and breadth, to provide data support for the formulation of future power demand response policies. [0003] In the prior art, the analysis method of user's electricity consumption behavior generally adopts simple clustering algorithm to perform cluster analysis on user's electricity c...
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