Method for power dispatching by using mini hydropower classification short-period power prediction
A technology for power forecasting and power grid scheduling, which is applied in forecasting, data processing applications, biological neural network models, etc., and can solve problems such as threats to safe and stable operation of power grids during operation and scheduling, small installed capacity of small hydropower, and unreasonable seasonality.
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[0064] A short-term power prediction method for small hydropower classification, which includes:
[0065] Step 1. Collect regional run-of-river small hydropower and non-run-off hydropower data;
[0066] The run-off small hydropower data information collected in step 1 includes meteorological data, output data, and start-up and shutdown data. The meteorological data should include temperature, air pressure, humidity, wind direction, wind speed, and rainfall data in the area where the run-off small hydropower is located. The data information of the non-runoff hydropower includes meteorological data, output data, outbound water volume, start-up and shutdown data, and the meteorological data should include temperature, air pressure, humidity, wind direction, wind speed, rainfall data and The medium and long-term power generation plan of non-river small hydropower and the peak and valley electricity price data of the regional power grid.
[0067] Geographic location data should in...
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