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

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基于數(shù)據(jù)簡(jiǎn)化擬合的電動(dòng)公交車充電負(fù)荷預(yù)測(cè)

來(lái)源:電工電氣發(fā)布時(shí)間:2020-03-27 13:27 瀏覽次數(shù):1062
基于數(shù)據(jù)簡(jiǎn)化擬合的電動(dòng)公交車充電負(fù)荷預(yù)測(cè)
 
端祝超
(江蘇省送變電有限公司,江蘇 南京 210028)
 
    摘 要:在測(cè)量統(tǒng)計(jì)大量電動(dòng)公交車相關(guān)數(shù)據(jù)的基礎(chǔ)上,對(duì)電動(dòng)公交車的行駛和充電規(guī)律進(jìn)行了量化分析和數(shù)據(jù)簡(jiǎn)化處理。根據(jù)電動(dòng)公交車電池容量、行駛里程、環(huán)境條件等信息構(gòu)建了基于數(shù)據(jù)簡(jiǎn)化的電動(dòng)公交車充電功率模型和計(jì)算方法?;谏鲜龊?jiǎn)化后的數(shù)據(jù)信息和相關(guān)計(jì)算模型,利用優(yōu)化的蒙特卡洛法對(duì)某市電動(dòng)公交車的充電負(fù)荷進(jìn)行了預(yù)測(cè),并分析了不同時(shí)長(zhǎng)預(yù)測(cè)負(fù)荷的誤差及其原因,驗(yàn)證了該方法準(zhǔn)確性和可行性。數(shù)據(jù)的簡(jiǎn)化處理有效地提高了該預(yù)測(cè)方法的可實(shí)施性,且其預(yù)測(cè)結(jié)果能夠滿足充電設(shè)施規(guī)劃建設(shè)和電網(wǎng)運(yùn)行規(guī)劃的要求。
    關(guān)鍵詞:電動(dòng)公交車;行駛規(guī)律;充電負(fù)荷預(yù)測(cè);蒙特卡洛法;數(shù)據(jù)簡(jiǎn)化
    中圖分類號(hào):TM714     文獻(xiàn)標(biāo)識(shí)碼:A     文章編號(hào):1007-3175(2020)03-0023-05
 
Electric Bus Charging Load Forecast Based on Data Simplification Fitting
 
DUAN Zhu-chao
(Jiangsu Power Transmission and Transfer Co., Ltd, Nanjing 210028, China)
 
    Abstract: Based on the measurement and statistics of a large number of relevant data of electric bus, the quantitative analysis and data simplification of the driving and charging rules are carried out. According to the information of battery capacity, driving distance and environmental conditions, the charging power model and calculation method based on data simplification are constructed. Based on the simplified data information and related calculation model, the optimized Monte Carlo method is used to predict the charging load of electric buses in a city, and the error of the forecasting load with different duration and its causes are analyzed. The accuracy and feasibility of the method are verified. The simplified processing of the data can effectively improve the operability of the prediction method, and the prediction result can meet the requirements of the charging facility planning construction and the grid operation planning.
    Key words: electric bus; driving rules; charging load forecasting; Monte Carlo method; data simplification
 
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