日韩欧美大片免费看,欧美激情一区二区三,国产精品久久一区二区三区动毛片,国产精品久久久久久久上

基于改進(jìn)遺傳算法的源網(wǎng)荷儲(chǔ)協(xié)同 控制方法

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

  • 摘要: 從源網(wǎng)荷儲(chǔ)一體化的實(shí)施模式和重要意義入手,介紹源網(wǎng)荷儲(chǔ)協(xié)同控制模型的構(gòu)建方 法,基于改進(jìn)遺傳算法對(duì)模型進(jìn)行求解,并開展仿真實(shí)驗(yàn)分析。研究結(jié)果顯示:采用該協(xié) 同控制方法,電力系統(tǒng)中的風(fēng)光棄電量明顯減小、運(yùn)行成本明顯降低,能提高電網(wǎng)對(duì)新能 源的消納能力,有助于促進(jìn)源網(wǎng)荷儲(chǔ)一體化發(fā)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.

     

/

返回文章
返回