A Multi-objective Optimal Scheduling Method Based on Iron and Steel Enterprise Energy System

Abstract

The invention provides a multi-objective optimal scheduling method based on the energy system of iron and steel enterprises. The method includes: obtaining the topological structure of the energy system network of iron and steel enterprises, the information of key equipment that can be dispatched, and the historical data of energy production and consumption in past dispatch cycles; constructing a training data set according to the historical data of energy production and consumption; The corresponding energy production and consumption data constructs a prediction data set; the trained BP neural network is obtained through the training data set; Supply and demand first forecast data; based on the first forecast data, economic dispatch model, environmental cost model, schedulable key equipment model and constraints, establish a multi-objective optimal dispatch model, solve the multi-objective optimal dispatch model, and obtain the optimal solution of the energy system . The above method ensures the convergence of the calculation process and can obtain the optimal scheduling scheme.

Description

technical field [0001] The invention belongs to the field of energy dynamic balance and optimal scheduling of iron and steel enterprises, and in particular relates to a multi-objective optimal scheduling method based on the energy system of iron and steel enterprises. Background technique [0002] The iron and steel industry is a basic pillar industry of the national economy, a typical process-based industry, and a resource- and energy-intensive industry. It has the following characteristics: On the one hand, the production process of iron and steel enterprises is long, with various processes and equipment, and the processes are connected with each other, and each process and equipment are associated with multiple energy media; on the other hand, the types of energy that iron and steel enterprises need to use More than 20 types, among which the most important energy media are gas, steam, and electricity. These energy media not only have various forms of production and consum...

AI Technical Summary

Problems solved by technology

For such complex strong constraints and multi-objective optimization problems, the solution process may not converge, and the optimal scheduling scheme cannot be output

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