Household photovoltaic anomaly identification method based on intelligent electric meter and geographic information grouping
A smart meter and geographic information technology, applied in data processing applications, information technology support systems, instruments, etc., can solve problems such as large amount of calculation, photovoltaic output power, reduced efficiency and reliability, and low accuracy, and achieve the calculation process. Simple, shortened abnormal diagnosis time, high accuracy
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[0050] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0051] Such as figure 1 Shown, the present invention comprises the following steps:
[0052] Step 1: Obtain the original data; it includes the data that the household photovoltaic users keep on file in the power grid company during installation, generally including the reported installed capacity, the geographical location of the user, and the photovoltaic load and power generation recorded by the smart meter.
[0053] Step 2: Clustering and grouping according to geographical location; clustering of all photovoltaic users based on spatial correlation large-scale distributed user photovoltaic spatial grouping method to cluster photovoltaic users, the optimal number of clusters and their corresponding values can be obtained by this algorithm It can be considered that within the divided sub-regions, the meteorological conditions and ...
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