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Keywords

regenerative electric heating, wind power consumption, user satisfaction, grey relational analysis, chaotic particle swarm algorithm

Abstract

With the strategic goal of developing "double carbon", it is required to further promote the large?scale integration of wind and solar power as the main source of clean energy. In order to improve the wind power consumption capability and reduce the wind power curtailment, a interactive optimization operation model of regenerative electric heating and wind power considering user satisfaction is proposed. Firstly, the operation principle of regenerative electric heating equipment participating with wind power is analyzed; then, a multi?objective optimization model for the combined operation of regenerative electric heating and wind power is established considering wind power consumption, economical property and user satisfaction. A grey relational analysis based improved chaotic particle swarm optimization algorithm is adopted for solving the proposed model; finally, an operation scheme which satisfying all the operation requirements is proposed based on the simulation data of a real grid. The simulation results show that the model can effectively increase the wind power consumption capability, reduce the operating cost, satisfy the user's thermal comfortable level, and provide decision support for future development for the regenerative electric heating and wind power.

DOI

10.19781/j.issn.1673-9140.2023.01.007

First Page

55

Last Page

65

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