Multi-mode heat supply unit load distribution optimization method based on artificial neural network
An artificial neural network, load distribution technology, applied in biological neural network models, neural learning methods, climate change adaptation and other directions, can solve difficult thermal and electric load distribution optimization, no peak regulation mechanism discussion, power grid peak regulation capacity prediction and guidance. limited and other problems to achieve the effect of improving efficiency and improving the level of safe and stable operation
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[0049] In order to make the content of the present invention more clearly understood, the present invention will be further described in detail below based on specific embodiments and in conjunction with the accompanying drawings.
[0050] Such as figure 1 As shown, a multi-mode heating unit load distribution optimization method based on artificial neural network, which includes the following steps:
[0051] Step S1, establishing a database, storing unit operation data and accessing meteorological data;
[0052]Step S2, build a BP artificial neural network model, call the data in the database as the input data of the BP artificial neural network model, and predict the heating load and power supply load of the unit in the next 24 hours; the input data of the BP artificial neural network model includes weather Data and historical operation data of the heating unit, the meteorological data includes ambient temperature, air pressure, humidity and wind speed, and the historical op...
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