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

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    基于KMTOA的三相光伏逆變器雙環控制研究

    來源:電工電氣發布時間:2018-08-16 13:16 瀏覽次數:647
    基于KMTOA的三相光伏逆變器雙環控制研究
     
    吳靜平1,何浪1,王根平2
    (1 湘潭大學 湖南省“風電裝備與電能變換”2011協同創新中心,湖南 湘潭 411105;2 深圳職業技術學院,廣東 深圳 518000)
     
        摘 要:以離網三相光伏逆變器為研究對象, 選擇電壓電流雙閉環控制作為其控制策略,針對傳統PI控制參數難整定、系統變化適應性差的問題,引入了分子動理論優化算法來辨識雙閉環控制器的PI參數,實現動態優化?;贛ATLAB平臺的仿真實驗結果表明:相比于傳統的PI 控制以及PSO和GA算法兩種智能算法,該算法具有操作簡便、超調量小、響應快、適應性強等特點;系統輸出的電壓、電流波形呈現良好的正弦特性,總諧波畸變率小,有效改善了逆變器的動態性能及其輸出電壓的質量。
        關鍵詞:三相光伏逆變器;雙閉環PI 控制;分子動理論優化算法;辨識參數
        中圖分類號:TM464     文獻標識碼:A     文章編號:1007-3175(2018)08-0014-06
     
    Research of Double Closed Loop PI Controller Based on
    KMTOA for Three-Phase Photovoltaic Inverter
     
    WU Jing-ping1, HE Lang1, WANG Gen-ping2
    (1 Hunan Province Cooperative Innovation Center for Wind Power Equipment and Energy Conversion,
    Xiangtan University, Xiangtan 4111 05, China; 2 Shenzhen Polytechnic, Shenzhen 518000, China)
     
        Abstract: The three-phase photovoltaic inverter is used as the research object and the voltage and current double closed loop control was selected as its control strategy. Aiming at the problem that the traditional PI control parameters were difficult to be adjusted and the system variation was poor, kinetic molecular theory optimization algorithm was introduced to identify the PI parameters of double closed loop controller to realize dynamic optimization. The result of simulation experiment in MATLAB shows that compared with the traditional PI controller, the particle swarm optimization (PSO) and GA algorithms have many advantages, such as simple operation, small overshoot, fast response, strong adaptability and so on. The system output voltage and current waveform has a good sinusoidal characteristic, and the total harmonic distortion (THD) is smaller, which can improve the dynamic performance and the quality of output voltage in inverter effectively.
        Key words: three-phase photovoltaic inverter; double closed loop PI control; kinetic molecular theory optimization algorithm; parameter identification
     
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