A multi-objective optimization method and system for regenerative electric heating to participate in wind power consumption

Abstract

The invention relates to a multi-objective optimization method and system for regenerative electric heating to participate in wind power consumption, and a multi-objective optimization model for regenerative electric heating to participate in wind power consumption is constructed. The minimum regenerative electric heating operation cost objective function and the minimum system carbon emission objective function solve the problem that the existing regenerative electric heating participating in wind power consumption research mainly focuses on benefit evaluation and economy, and the objective function is single, etc. The problem; using the NSGA-III algorithm to solve the multi-objective model of regenerative electric heating participating in wind power consumption, in terms of algorithm, when dealing with high-dimensional multi-objective optimization problems, it solves the problems of convergence and insufficient solution efficiency of traditional algorithms. question. The invention improves the optimization efficiency and wind power consumption ability, effectively reduces carbon emissions, and reduces equipment operating costs.

Description

technical field [0001] The invention relates to the technical field of regenerative electric heating, in particular to a multi-objective optimization method and system for regenerative electric heating to participate in wind power consumption. Background technique [0002] Accelerating the development of non-fossil energy, especially new energy such as wind power and solar power, is the key to promoting the low-carbon transformation of energy. As the proportion of new energy connected to the power grid continues to increase, due to the seasonality and randomness of wind power output, it is faced with problems such as limited wind power consumption. It is converted into electric power and releases heat during the day, which can adjust the load to participate in the peak regulation of the power grid, which is an effective way to solve the wind power consumption. [0003] In view of the above situation, scholars at home and abroad have studied the participation of regenerative...

AI Technical Summary

Problems solved by technology

[0004] To sum up, in terms of optimization models, the current research on the participation of thermal storage electric heating in wind power consumption mainly focuses on benefit evaluation and economics, and the objective function is single. , ignoring issues such as carbon emissions and equipment operating costs

In terms of algorithms, when dealing with high-dimensional multi-objective optimization problems, traditional algorithms have problems such as convergence and insufficient solution efficiency.

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