基于數(shù)據(jù)簡化擬合的電動公交車充電負(fù)荷預(yù)測
端祝超
(江蘇省送變電有限公司,江蘇 南京 210028)
摘 要:在測量統(tǒng)計大量電動公交車相關(guān)數(shù)據(jù)的基礎(chǔ)上,對電動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)簡化處理。根據(jù)電動公交車電池容量、行駛里程、環(huán)境條件等信息構(gòu)建了基于數(shù)據(jù)簡化的電動公交車充電功率模型和計算方法。基于上述簡化后的數(shù)據(jù)信息和相關(guān)計算模型,利用優(yōu)化的蒙特卡洛法對某市電動公交車的充電負(fù)荷進(jìn)行了預(yù)測,并分析了不同時長預(yù)測負(fù)荷的誤差及其原因,驗證了該方法準(zhǔn)確性和可行性。數(shù)據(jù)的簡化處理有效地提高了該預(yù)測方法的可實施性,且其預(yù)測結(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:電動公交車;行駛規(guī)律;充電負(fù)荷預(yù)測;蒙特卡洛法;數(shù)據(jù)簡化
中圖分類號:TM714 文獻(xiàn)標(biāo)識碼:A 文章編號: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
參考文獻(xiàn)
[1] 蘇小林,張艷娟,武中,等. 規(guī)模化電動汽車充電負(fù)荷的預(yù)測及其對電網(wǎng)的影響[J]. 現(xiàn)代電力,2018,35(1):45-54.
[2] 田立亭,張明霞,汪奐伶. 電動汽車對電網(wǎng)影響的評估和解決方案[J]. 中國電機(jī)工程學(xué)報,2012,32(31):43-49.
[3] 胡澤春,宋永華,徐智威,等. 電動汽車接入電網(wǎng)的影響與利用[J]. 中國電機(jī)工程學(xué)報,2012,32(4):1-10.
[4] 李惠玲,白曉民. 電動汽車充電對配電網(wǎng)的影響及對策[J]. 電力系統(tǒng)自動化,2011,35(17):38-43.
[5] 羅卓偉,胡澤春,宋永華,等. 電動汽車充電負(fù)荷計算方法[J]. 電力系統(tǒng)自動化,2011,35(14):36-42.
[6] KRISTIEN C N, EDWIN H, JOHAN D.The impact of charging plug-in hybrid electric vehicles on a residential distribution grid[J].IEEE Transactions on Power Systems,2010,25(1):371-380.
[7] 宮鑫,林濤,蘇秉華. 插電式混合電動汽車充電對配電網(wǎng)的影響[J]. 電網(wǎng)技術(shù),2012,36(11):30-35.
[8] 汪德夫,張樹冰. 考慮時空分布的電動汽車充電負(fù)荷預(yù)測及對電網(wǎng)負(fù)荷影響分析[J]. 電力學(xué)報,2017,32(6):483-489.
[9] 王森,馮耀軒,鄧文雄,等. 考慮時空特性分布的電動汽車充電負(fù)荷預(yù)測[J]. 浙江電力,2016,35(12):15-20.
[10] 陳昕儒,林祥逸,吳奇珂. 計及用戶行為的電動汽車負(fù)荷預(yù)測[J]. 電工技術(shù),2017(1):129-130.
[11] 王海玲,張美霞,楊秀. 考慮環(huán)境溫度的電動汽車充電負(fù)荷預(yù)測[J]. 上海電力學(xué)院學(xué)報,2017,33(2):138-144.
[12] 唐晉娟. 不良天氣條件下高速公路交通安全影響分析[D]. 南京:南京林業(yè)大學(xué),2010.
[13] 田立亭,史雙龍,賈卓. 電動汽車充電功率需求的統(tǒng)計學(xué)建模方法[J]. 電網(wǎng)技術(shù),2010,34(11):126-130.
[14] TAYLOR J, MAITRA A, ALEXANDER M, et al. Evalution of the impact of plug-in electric vehicle loading on distribution system operations[C]//IEEE Power & Energy Society General Meeting, 2009:1-6.