基于改进遗传算法的源网荷储协同 控制方法

A Collaborative Control Method for Source-Grid-Load-Storage Based on Improved Genetic Algorithm

  • 摘要: 从源网荷储一体化的实施模式和重要意义入手,介绍源网荷储协同控制模型的构建方 法,基于改进遗传算法对模型进行求解,并开展仿真实验分析。研究结果显示:采用该协 同控制方法,电力系统中的风光弃电量明显减小、运行成本明显降低,能提高电网对新能 源的消纳能力,有助于促进源网荷储一体化发展。

     

    Abstract: Starting with the implementation modes and significant importance of the integrated source-grid-load-storage (SGLS) system, this paper introduces the construction method of the collaborative control model for SGLS. The model is solved using an improved genetic algorithm, and simulation experiments are conducted for analysis. The research results show that by adopting this collaborative control method, the curtailment of wind and solar power in the power system is significantly reduced, the operating costs are substantially lowered, and the grid's ability to accommodate new energy sources is enhanced, which is conducive to promoting the development of the integrated SGLS system.

     

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