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    Suzhou Electric Appliance Research Institute
    期刊號: CN32-1800/TM| ISSN1007-3175

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    基于改進MNPSO算法的微電網(wǎng)經(jīng)濟運行優(yōu)化研究

    來源:電工電氣發(fā)布時間:2022-07-18 15:18 瀏覽次數(shù):377

    基于改進MNPSO算法的微電網(wǎng)經(jīng)濟運行優(yōu)化研究

    柳勇,楊國華,吳宣儒,劉煜,李思維
    (寧夏大學 物理與電子電氣工程學院,寧夏 銀川 750021)
     
        摘 要:為研究各種改進的粒子群優(yōu)化算法對微電網(wǎng)的經(jīng)濟運行優(yōu)化,通過構(gòu)建微電網(wǎng)經(jīng)濟運行優(yōu)化模型,用多個正態(tài)隨機數(shù)擾動粒子群算法速度和位置的演進方向,對比了改進粒子群算法的收斂性和不同應用環(huán)境下的優(yōu)化性能,采用實際簡單協(xié)調(diào)風光儲的微電網(wǎng)算例進行驗證分析,證明了改進算法的優(yōu)化效果并驗證了優(yōu)化微電網(wǎng)經(jīng)濟運行的科學性。
        關(guān)鍵詞: 微電網(wǎng);改進粒子群優(yōu)化算法;正態(tài)隨機數(shù);優(yōu)化性能
        中圖分類號:TM734     文獻標識碼:A     文章編號:1007-3175(2022)07-0014-08
     
    Research on an Improved Particle Swarm Algorithm with Many
    Normal Random Number Disturbances
     
    LIU Yong, YANG Guo-hua, WU Xuan-ru, LIU Yu, LI Si-wei
    (School of Physics and Electronic-Electrical Engineering, Ningxia University, Yinchuan 750021, China)
     
        Abstract: This paper constructed an optimized model of the economic operation of the microgrid to optimize the microgrid for studying different improved particle swarm optimization.It employed many normal random numbers to disturb the speed and evaluation direction of the particle swarm optimization. In addition, it compared the astringency of the evolutional particle swarm optimization and the optimal performance under diverse application environments.This paper takes the example of the solar energy storage microgrid to do the analysis. It verifies the improved effect of the evolutional algorithm. Moreover, it validates the scientificity of optimizing the economic operation of the microgrid.
        Key words: microgrid; improved particle swarm optimization algorithm; normal random number; optimized performance
     
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