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

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粒子群與細(xì)菌覓食混合算法在光伏陣列MPPT中的應(yīng)用

來源:電工電氣發(fā)布時(shí)間:2021-06-28 10:28 瀏覽次數(shù):624
粒子群與細(xì)菌覓食混合算法在光伏陣列MPPT中的應(yīng)用
 
支昊,張建德,黃陳蓉,薛正愛
(南京工程學(xué)院 電力工程學(xué)院,江蘇 南京 211167)
 
     摘 要 :為了提高光伏陣列光電轉(zhuǎn)換效率,確保光伏陣列功率輸出始終維持在最大功率點(diǎn)上,傳統(tǒng)最大功率點(diǎn)跟蹤算法在應(yīng)用于局部陰影條件時(shí),可能存在陷入局部最優(yōu)或跟蹤時(shí)間過長等問題。提出一種粒子群與細(xì)菌覓食混合算法,并將其應(yīng)用于光伏陣列的最大功率點(diǎn)跟蹤中,來改善跟蹤過程中的收斂精度與速度。通過仿真實(shí)驗(yàn)結(jié)果,與傳統(tǒng)擾動觀察算法以及細(xì)菌覓食算法進(jìn)行對比,驗(yàn)證了混合算法在跟蹤速度、收斂精度、穩(wěn)定性上的優(yōu)越性,以及在動態(tài)光照條件下的適應(yīng)性能力。
    關(guān)鍵詞 :最大功率點(diǎn)跟蹤 ;粒子群算法 ;細(xì)菌覓食算法 ;光伏陣列
    中圖分類號 :TM615     文獻(xiàn)標(biāo)識碼 :A     文章編號 :1007-3175(2021)06-0014-06
 
Application of Hybrid Algorithm of Particle Swarm Optimization and
Bacterial Foraging in MPPT of Photovoltaic System
 
ZHI Hao, ZHANG Jian-de, HUANG Chen-rong, XUE Zheng-ai
(School of Electrical Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China)
 
    Abstract: In order to improve the photoelectric conversion efficiency of the photovoltaic array and ensure the power output of the photovoltaic array is always maintained at the maximum power point, when the traditional maximum power point tracking algorithm is applied to partial shadow conditions, there may be problems such as falling into the local optimum or longer tracking time. The hybrid algorithm of particle swarm optimization and bacterial foraging is proposed and applied to the maximum power point tracking of photovoltaic array to improve the convergence accuracy and speed in the tracking process. Compared with traditional disturbance observation algorithm and bacterial foraging algorithm, it is verified that this hybrid algorithm is better in tracking speed, convergence accuracy, stability and adaptability under dynamic lighting conditions.
    Key words: maximum power point tracking; particle swarm optimization algorithm; bacterial foraging optimization algorithm; photovoltaic array
 
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