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

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動(dòng)態(tài)等維新息模型在中長(zhǎng)期負(fù)荷預(yù)測(cè)中的應(yīng)用

來源:電工電氣發(fā)布時(shí)間:2016-06-25 15:25 瀏覽次數(shù):10
動(dòng)態(tài)等維新息模型在中長(zhǎng)期負(fù)荷預(yù)測(cè)中的應(yīng)用
 
丁義軒1,王賽爽2,侯永輝3
(1 鄭州大學(xué) 電氣工程學(xué)院,河南 鄭州 450001;
2 華北水利水電大學(xué) 電力學(xué)院,河南 鄭州 450046;
3 河南省計(jì)量科學(xué)研究院,河南 鄭州 450008)
 
    摘 要:負(fù)荷預(yù)測(cè)是選取電力系統(tǒng)規(guī)劃變電站及發(fā)電廠主變壓器容量的主要依據(jù),以實(shí)際某市供電負(fù)荷為例,建立起動(dòng)態(tài)等維新息模型,把原始數(shù)據(jù)和預(yù)測(cè)的數(shù)據(jù)進(jìn)行組合,利用回歸模型,得到模型的預(yù)測(cè)方程,并從模型預(yù)測(cè)結(jié)果的相對(duì)誤差和模型精度等級(jí)進(jìn)行對(duì)比,說明結(jié)合動(dòng)態(tài)等維新息模型,能使中長(zhǎng)期電力負(fù)荷預(yù)測(cè)結(jié)果更靠近實(shí)際負(fù)荷值。
    關(guān)鍵詞:負(fù)荷預(yù)測(cè);中長(zhǎng)期負(fù)荷;灰色預(yù)測(cè)模型;等維新息模型;精度檢驗(yàn)
    中圖分類號(hào):TM715       文獻(xiàn)標(biāo)識(shí)碼:B       文章編號(hào):1007-3175(2016)06-0041-03
 
Application of Dynamic New Information Model with Equal Dimension in Medium and Long Term Load Forecasting
 
DING Yi-xuan1, WANG Sai-shuang2, HOU Yong-hui3
(1 School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, China;
2 School of Electric Power, North China Univercity of Water Resources and Electic Power, Zhengzhou 450046, China;
3 Henan Province Institute of Metrology, Zhengzhou 450008, China)
 
    Abstract: Load forecasting is the mainstay of selection of the power system planning substation and the main transformer capacity in power plant, especially for medium and long term load forecasting. Taking the power supply load of certain city for example, this paper established a dynamic new information model with equal dimension, combined original data with predicted data and used a regression model to get the model prediction equation, carrying out comparison of the relative error and model accuracy class from model prediction results. The results show that the combination of the dynamic new information model with equal dimension could make medium and long term power load forecasting results be more close to the actual load value.
    Key words: load forecasting; medium and long term load; grey prediction model; new information with equal dimension model; accuracy test
 
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