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

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基于交叉熵理論的光伏發(fā)電功率組合預(yù)測(cè)方法

來(lái)源:電工電氣發(fā)布時(shí)間:2022-04-20 14:20 瀏覽次數(shù):438

基于交叉熵理論的光伏發(fā)電功率組合預(yù)測(cè)方法

陳麗霞
(國(guó)網(wǎng)福建省電力有限公司福州供電公司,福建 福州 350007)
 
    摘 要:光電功率預(yù)測(cè)對(duì)電網(wǎng)的安全穩(wěn)定運(yùn)行以及調(diào)度等方面具有重要意義。針對(duì)單一預(yù)測(cè)方法精度較低的問(wèn)題,提出了一種基于交叉熵理論的光伏發(fā)電功率組合預(yù)測(cè)方法,以單一預(yù)測(cè)方法和最小化組合預(yù)測(cè)方法的“差值”為依據(jù),動(dòng)態(tài)地改變不同預(yù)測(cè)方法的權(quán)重,提高組合預(yù)測(cè)的精度。以某光伏電場(chǎng)為算例進(jìn)行分析,結(jié)果表明,該模型針對(duì)不同的天氣,具有較強(qiáng)的預(yù)測(cè)適應(yīng)性,可以提高預(yù)測(cè)精度,減少預(yù)測(cè)誤差的出現(xiàn)。
    關(guān)鍵詞:光伏發(fā)電;功率預(yù)測(cè);交叉熵;權(quán)重;組合預(yù)測(cè)
    中圖分類號(hào):TM615     文獻(xiàn)標(biāo)識(shí)碼:A     文章編號(hào):1007-3175(2022)04-0017-04
 
A Combination Forecasting Method of Photovoltaic Power Generation
Based on Cross-Entropy Theory
 
CHEN Li-xia
(Fuzhou Power Supply Company, State Grid Fujian Electric Power Co., Ltd, Fuzhou 350007, China)
 
    Abstract: Photoelectric power prediction has significant meaning to the safe and stable operation and dispatching of power grids. This paper proposed a combined prediction method of photovoltaic power generation based on cross-entropy theory to solve the problem of the low accuracy of the single prediction method. This combined prediction method is based on the“gap”between the single forecast method and the minimized combined forecast method. It changed the weight of different forecasting methods dynamically and improved the accuracy of combined forecasting. This paper took a photovoltaic field as an example to analyze. The result shows that the model has strong prediction adaptability, and it could improve prediction accuracy and reduce prediction errors.
    Key words: photovoltaic power generation; power prediction; cross-entropy; weight; combined prediction
 
參考文獻(xiàn)
[1] 李旭. 基于典型日出力特性分析的光伏電站功率預(yù)測(cè)研究[D]. 北京:華北電力大學(xué),2016.
[2] BOYLE Godfrey.Renewable electricity and thegrid[M].London :Earthscan Publications Ltd,2007.
[3] 龔鶯飛,魯宗相,喬穎,王強(qiáng). 光伏功率預(yù)測(cè)技術(shù)[J]. 電力系統(tǒng)自動(dòng)化,2016,40(4) :140-151.
[4] 朱永強(qiáng),田軍. 最小二乘支持向量機(jī)在光伏功率預(yù)測(cè)中的應(yīng)用[J]. 電網(wǎng)技術(shù),2011,35(7) :54-59.
[5] FERNANDEZ-JIMENEZ L A, TERREROS-OLARTE S,ZORZANO-SANTAMARIA P J, MENDOZA-VILLENA M,GARCIA-GARRIDO E.Probabilistic photovoltaic power forecasting model based on deterministic forecasts[C]//E3S Web of Conferences,2020:152.
[6] 丁明,徐寧舟. 基于馬爾可夫鏈的光伏發(fā)電系統(tǒng)輸出功率短期預(yù)測(cè)方法[J] . 電網(wǎng)技術(shù),2011,35(1) :152-157.
[7] 楊錫運(yùn),劉歡,張彬,陳嵩. 基于熵權(quán)法的光伏輸出功率組合預(yù)測(cè)模型[J] . 太陽(yáng)能學(xué)報(bào),2014,35(5) :744-749.
[8] 楊錫運(yùn),任杰,肖運(yùn)啟. 基于粗糙集的光伏輸出功率組合預(yù)測(cè)模型[J] . 中國(guó)電力,2016,49(12) :133-138.
[9] 陳嵩. 組合預(yù)測(cè)技術(shù)及其在功率預(yù)測(cè)中的應(yīng)用[D].北京:華北電力大學(xué),2015.
[10] WANG Yue, GUO Chuangxin, WU Q H.A cross-entropy-based three-stage sequential importance sampling for composite power system short-term reliability evaluation[J].IEEE Transactions on Power Systems,2013,28(4) :4254-4263.
[11] 王越,郭創(chuàng)新,文云峰,李樹(shù)青,袁翔. 一種三段式序貫交叉熵重采樣方法及其在電力系統(tǒng)短期可靠性評(píng)估中的應(yīng)用[J] . 中國(guó)電機(jī)工程學(xué)報(bào),2013,33(28) :94-100.
[12] 周軍妮,楊潤(rùn)玲,王燕妮,江莉. 一種結(jié)合交叉熵和投影特征的圖像匹配算法[J] . 小型微型計(jì)算機(jī)系統(tǒng),2013,34(2) :405-408.
[13] 陳寧,沙倩,湯奕,朱凌志. 基于交叉熵理論的風(fēng)電功率組合預(yù)測(cè)方法[J] . 中國(guó)電機(jī)工程學(xué)報(bào),2012,32(4) :29-34.
[14] 高陽(yáng),張碧玲,毛京麗,劉勇. 基于機(jī)器學(xué)習(xí)的自適應(yīng)光伏超短期出力預(yù)測(cè)模型[J] . 電網(wǎng)技術(shù),2015,39(2) :307-311.