红外与激光工程
紅外與激光工程
홍외여격광공정
INFRARED AND LASER ENGINEERING
2013年
8期
2173-2180
,共8页
最大功率追踪%不均匀光照%光伏电池
最大功率追蹤%不均勻光照%光伏電池
최대공솔추종%불균균광조%광복전지
maximum power point tracking%non-uniform insolation%photovoltaic cell
设计了一种针对多峰值的最大功率追踪算法。光伏板在受到不均匀光照的情况下,其功率-电流特性曲线会出现多峰值。通过大量光伏电池的数据模拟,发现光伏板P-I曲线具有“峰值高度以全局峰值为中心,向两侧不断递减”的重要规律,并且统计研究了P-I曲线上左侧坡和右侧坡的斜率、相邻峰值间隔等多种数据,以此作为算法设计的依据。设计的算法通过对光伏电池的输出曲线进行部分扫描来获得全局峰值的位置,其中运用了“区域扫描法”来增强扫描的精度和速度。另外对两种简单、快速的变步长扰动观察法法进行了比较,确定了其适用范围并加以灵活运用。所设计的算法快速、有效,避免了峰值的遗漏,而且具有“峰值越多,追踪越快”的特点。
設計瞭一種針對多峰值的最大功率追蹤算法。光伏闆在受到不均勻光照的情況下,其功率-電流特性麯線會齣現多峰值。通過大量光伏電池的數據模擬,髮現光伏闆P-I麯線具有“峰值高度以全跼峰值為中心,嚮兩側不斷遞減”的重要規律,併且統計研究瞭P-I麯線上左側坡和右側坡的斜率、相鄰峰值間隔等多種數據,以此作為算法設計的依據。設計的算法通過對光伏電池的輸齣麯線進行部分掃描來穫得全跼峰值的位置,其中運用瞭“區域掃描法”來增彊掃描的精度和速度。另外對兩種簡單、快速的變步長擾動觀察法法進行瞭比較,確定瞭其適用範圍併加以靈活運用。所設計的算法快速、有效,避免瞭峰值的遺漏,而且具有“峰值越多,追蹤越快”的特點。
설계료일충침대다봉치적최대공솔추종산법。광복판재수도불균균광조적정황하,기공솔-전류특성곡선회출현다봉치。통과대량광복전지적수거모의,발현광복판P-I곡선구유“봉치고도이전국봉치위중심,향량측불단체감”적중요규률,병차통계연구료P-I곡선상좌측파화우측파적사솔、상린봉치간격등다충수거,이차작위산법설계적의거。설계적산법통과대광복전지적수출곡선진행부분소묘래획득전국봉치적위치,기중운용료“구역소묘법”래증강소묘적정도화속도。령외대량충간단、쾌속적변보장우동관찰법법진행료비교,학정료기괄용범위병가이령활운용。소설계적산법쾌속、유효,피면료봉치적유루,이차구유“봉치월다,추종월쾌”적특점。
This research aims to design a maximum power point tracking algorithm which tracks the global maximum among multiple local maximums. Multiple local maxima can be exhibited on the power-current characteristic curve under non-uniform insolation conditions. The research was based on a significant number of data simulations of photovoltaic cell and the discovery that PV panels' P-I curves obeied the following rule. The values of local maxima monotonically decreased with respect to the distance from the global maximum. Moreover, statistical studies had been conducted on the slopes of the curves, distances between two local maxima, etc. Based on these observations and discoveries, the algorithm was thus designed. The algorithm obtained the location of the global maximum of a P-I curve by partially scanning the curve, during which "Regional Scanning Mechanism" was adopted to enhance the precision and efficiency of the algorithm. In addition, another two simple and fast P&O algorithms were compared, their appropriate uses were discovered and be applies smoothly in real practices. The design of this algorithm also ensures reasonable time complexity, efficiency and guarantees that no maxima will be ignored. It is also equipped with an interesting property such that the more the maxima a P-I curve possesses, the faster the algorithm is correspondingly.