局部陰影下的光伏陣列MPPT算法研究
發(fā)布時間:2018-08-27 14:55
【摘要】:存在局部陰影時,光伏陣列的功率-電壓(P-V)特性曲線出現多個極值點,電流-電壓(I-V)特性曲線呈現階梯狀,使得基于單峰尋優(yōu)的傳統(tǒng)最大功率點跟蹤(MPPT)算法失效。為此,在研究遮陰光伏陣列輸出特性規(guī)律的基礎上,提出了一種具有全局搜索能力的MPPT算法。該算法先用粒子群優(yōu)化(PSO)算法將輸入位置調整到全局最優(yōu)附近,再用變步長電導增量法得到全局最優(yōu)解。新的算法在減輕系統(tǒng)振蕩和加快搜索速度方面做了改進。仿真結果表明,該方法不僅較好地克服了現有算法使用PSO大幅度隨機初始化粒子位置而導致系統(tǒng)振蕩問題,而且有效利用傳統(tǒng)單峰尋優(yōu)算法的優(yōu)點,增強了系統(tǒng)搜索的快速性和穩(wěn)定性,取得了較好的控制效果。
[Abstract]:In the presence of local shadows, the P-V characteristic curve of photovoltaic array appears several extreme points, and the current-voltage (I-V) characteristic curve presents a step shape, which makes the traditional maximum power point tracking (MPPT) algorithm based on single peak optimization invalid. Based on the study of the output characteristics of shaded photovoltaic arrays, a global search MPPT algorithm is proposed. In this algorithm, the input position is adjusted to the global optimum by particle swarm optimization (PSO) algorithm, and then the global optimal solution is obtained by the variable step size conductance increment method. The new algorithm is improved in reducing system oscillation and accelerating search speed. Simulation results show that the proposed method not only overcomes the problem of system oscillation caused by large random initialization of particle positions by using PSO, but also effectively utilizes the advantages of traditional single-peak optimization algorithms. The speed and stability of system search are enhanced, and better control effect is obtained.
【作者單位】: 浙江大學控制科學與工程學系;嘉善瑪仕蘭電子有限公司;
【基金】:科技型中小企業(yè)技術創(chuàng)新基金項目(10C26213304170)
【分類號】:TM615
[Abstract]:In the presence of local shadows, the P-V characteristic curve of photovoltaic array appears several extreme points, and the current-voltage (I-V) characteristic curve presents a step shape, which makes the traditional maximum power point tracking (MPPT) algorithm based on single peak optimization invalid. Based on the study of the output characteristics of shaded photovoltaic arrays, a global search MPPT algorithm is proposed. In this algorithm, the input position is adjusted to the global optimum by particle swarm optimization (PSO) algorithm, and then the global optimal solution is obtained by the variable step size conductance increment method. The new algorithm is improved in reducing system oscillation and accelerating search speed. Simulation results show that the proposed method not only overcomes the problem of system oscillation caused by large random initialization of particle positions by using PSO, but also effectively utilizes the advantages of traditional single-peak optimization algorithms. The speed and stability of system search are enhanced, and better control effect is obtained.
【作者單位】: 浙江大學控制科學與工程學系;嘉善瑪仕蘭電子有限公司;
【基金】:科技型中小企業(yè)技術創(chuàng)新基金項目(10C26213304170)
【分類號】:TM615
【共引文獻】
相關期刊論文 前10條
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5 嚴力,
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