Multi-energy optimization scheduling method for iron and steel enterprise based on random prediction model

The invention discloses a multi-energy optimization scheduling method for an iron and steel enterprise based on a random prediction model, and the method comprises the steps: building a demand prediction model, with random interference in each period, of the iron and steel enterprise based on demand quantities related to an energy medium; Determining a scheduling scheme according to a topological graph of an energy system, building a multi-period integrated random optimization scheduling model, with random parameters, of an enterprise energy medium for the scheduling model according to the constraint conditions of a production technology and the demand prediction model, and converting the model into an optimization scheduling model; solving the optimization scheduling model, obtaining the optimization scheduling results, and generating executable scheduling results according to the optimization scheduling results, so as to carry out multi-energy scheduling. The method gives consideration to the randomness of the prediction model in the scheduling process, enables an original optimization problem to be solved through converting the optimization of a random variable into the optimization of a determined quantity, can achieve the most reasonable use of energy, and improves the profits of the iron and steel enterprise to maximum degree.