An Optimal Scheduling Method for Integrated Energy Systems Based on Variable Mode Decomposition and Sample Entropy Theory

Abstract

An integrated energy system optimal dispatch method based on variable mode decomposition and sample entropy theory belongs to the field of integrated energy system optimal dispatch. This method preferentially consumes renewable energy, so the system load forecast curve and the renewable energy forecast output are subtracted to form a net load curve. Secondly, the variable mode decomposition of the net load curve is carried out to form multiple mode curves. Then, the sample entropy value of each mode is calculated, the complexity is evaluated, and the modes with similar complexity are reorganized to form a typical payload mode curve. Finally, according to different net load mode curves, the corresponding units are arranged for day-ahead optimal scheduling, and a day-ahead scheduling plan is given. The invention can avoid the problem of wind abandonment; the net load mode curve whose sample entropy is greater than the original curve is borne by the gas turbine unit, and the net load mode curve whose sample entropy is smaller than the original curve is borne by the coal-fired thermal power unit output, which can reduce the thermal power unit output. The climbing pressure and output fluctuate frequently.

Description

technical field [0001] The invention belongs to the field of optimal scheduling of integrated energy systems. It involves the theory of variable mode decomposition, sample entropy calculation and power system optimal dispatching, especially an integrated energy system optimal dispatching method based on variable mode decomposition and sample entropy theory. Background technique [0002] The integrated energy system is of great significance to improving the efficiency of social energy utilization, promoting the large-scale development of renewable energy, improving the utilization rate of social infrastructure and energy supply security, and achieving China's energy conservation and emission reduction goals. It has become an important strategic research direction in the international energy field. . With the application of combined heat and power units, gas turbines, electric boilers, and power-to-gas equipment in the system, the coupling of the three energy systems of elect...

AI Technical Summary

Problems solved by technology

At present, some scholars have applied variable model decomposition and sample entropy theory to wind power forecasting, but their application in the optimal dispatch of integrated energy systems is still rare.

Images