A multi-dimensional full-state data modeling method for probabilistic fusion photovoltaic power plants
A photovoltaic power station, data modeling technology, applied in the direction of photovoltaic power generation, electrical components, circuit devices, etc., can solve the problems of not meeting the requirements of power station operation and maintenance monitoring, not applicable to the analysis of monitoring data, etc., to reduce the system data burden, Solve the effect of model simplicity and performance improvement
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[0066] In this embodiment, a multi-dimensional full-state data modeling method for a probabilistic fusion photovoltaic power station includes the following steps:
[0067]Step 1. Suppose 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 with J=3 photovoltaic strings. The rated power of the series is 6kW. The schematic diagram of the connection structure of the power station is as follows figure 1 . The collected data available from all sensors in the photovoltaic power station include: irradiance s, ambient temperature t, and 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 , the h-th inverter A, B, C phase current I hA ,I hB ,I hC and output active power P h , where h=1,2; j=1,2,3, the A, B, C phase voltage U on the common connection point PCC A , U B , U C , AB, BC, CA line vo...
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