【摘要】：存在局部陰影時(shí),光伏陣列的功率-電壓(P-V)特性曲線出現(xiàn)多個(gè)極值點(diǎn),電流-電壓(I-V)特性曲線呈現(xiàn)階梯狀,使得基于單峰尋優(yōu)的傳統(tǒng)最大功率點(diǎn)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(chǔ)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(diào)整到全局最優(yōu)附近,再用變步長(zhǎng)電導(dǎo)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(jìn)。仿真結(jié)果表明,該方法不僅較好地克服了現(xiàn)有算法使用PSO大幅度隨機(jī)初始化粒子位置而導(dǎo)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(diǎn),增強(qiáng)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(xué)控制科學(xué)與工程學(xué)系;嘉善瑪仕蘭電子有限公司;
【基金】：科技型中小企業(yè)技術(shù)創(chuàng)新基金項(xiàng)目(10C26213304170)
【分類號(hào)】：TM615

【共引文獻(xiàn)】

相關(guān)期刊論文 前10條

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2 孫冠群;孟慶海;王斌銳;蔡慧;;基于最大功率點(diǎn)與最小損耗點(diǎn)跟蹤的光伏水泵系統(tǒng)效率優(yōu)化[J];農(nóng)業(yè)工程學(xué)報(bào);2013年11期

3 朱艷偉;但揚(yáng)清;;提高并網(wǎng)光伏發(fā)電系統(tǒng)效率策略研究[J];農(nóng)村電氣化;2013年07期

4 聶曉華;;強(qiáng)跟蹤UKF算法在光伏系統(tǒng)MPPT中的應(yīng)用[J];電力系統(tǒng)保護(hù)與控制;2013年18期

5 嚴(yán)力，

本文編號(hào)：2207620