Multi-dimensional full-state data modeling method of probability fusion type photovoltaic power station
A photovoltaic power station and data modeling technology, applied in photovoltaic power generation, electrical components, circuit devices, etc., can solve problems such as not meeting the requirements of power station operation and maintenance monitoring, and not applicable to the analysis of monitoring data
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[0068]In this embodiment, a multi-dimensional full-state data modeling method of a probabilistic fusion photovoltaic power station includes the following steps:
[0069] Step 1. Assume that a monitored photovoltaic power station contains H=2 inverters with a rated capacity of 15kW, and each inverter is connected to a photovoltaic array containing J=3 photovoltaic strings. The rated power of the string is 6kW, and the schematic diagram of the connection structure of the power station is as follows: figure 1 . The collected data that can be obtained by all sensors in the photovoltaic power station include: irradiance s, ambient temperature t, voltage U of the jth string of photovoltaic strings in the photovoltaic array connected to the hth inverter hj and PV string current I hj , A, B, C phase current I of the h-th inverter hA , I hB , I hC and output active power P h , where h=1,2; j=1,2,3, A, B, C phase voltage U on the common connection point PCC A ,U B ,U C , AB, BC...
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