發(fā)布時(shí)間：2019-01-12 12:03

【摘要】：隨著使用石油等化石燃料帶來的環(huán)保方面問題的關(guān)注度的不斷提高,全球發(fā)展清潔能源的要求愈加強(qiáng)烈,各國開始大力發(fā)展新能源汽車及其相關(guān)服務(wù)網(wǎng)絡(luò)。電動(dòng)汽車大規(guī)模的推廣將帶動(dòng)相關(guān)充換電設(shè)施的發(fā)展,并對(duì)電網(wǎng)供用電、市場(chǎng)經(jīng)濟(jì)和節(jié)能減排策略等方面帶來巨大的影響。本文首先介紹了電動(dòng)汽車充電模式和換電模式,分析了不同模式下相適應(yīng)的不同電動(dòng)汽車用電情況和不同種類電動(dòng)汽車充換電設(shè)施適用條件,得到適用于本文研究的充換電模式和布局規(guī)劃充換電設(shè)施類別。建立以充電站年綜合效益最大為目標(biāo)函數(shù),電動(dòng)汽車用戶換電需求和充電站容量為約束的綜合優(yōu)化數(shù)學(xué)模型,使用混合差分蜂群算法來對(duì)電動(dòng)汽車集中充電站布局進(jìn)行優(yōu)化,并通過一個(gè)實(shí)際算例對(duì)本文提出的模型和算法的可行性和可靠性進(jìn)行驗(yàn)證。最后考慮通過對(duì)電動(dòng)汽車動(dòng)力電池分時(shí)段集中充放電參與統(tǒng)一調(diào)度實(shí)現(xiàn)電網(wǎng)調(diào)峰,用實(shí)際數(shù)據(jù)對(duì)規(guī)�；碾妱�(dòng)汽車參與電網(wǎng)調(diào)峰情況進(jìn)行比較分析,結(jié)果表明規(guī)�；妱�(dòng)汽車參與電網(wǎng)調(diào)峰對(duì)降低電網(wǎng)負(fù)荷峰谷差,減輕電網(wǎng)壓力有顯著作用。
[Abstract]:With the increasing attention to environmental problems caused by the use of fossil fuels such as petroleum, the global demand for clean energy has become increasingly strong, and countries have begun to vigorously develop new energy vehicles and their related service networks. The large-scale promotion of electric vehicles will lead to the development of related charging and switching facilities, and will have a great impact on the power supply, market economy, energy saving and emission reduction strategy. In this paper, the charging mode and the changing mode of electric vehicle are introduced, and the different electric vehicle's electricity consumption and the applicable conditions of different electric vehicle's charging and changing facilities are analyzed. The types of charging and switching facilities suitable for the research in this paper are obtained. A comprehensive optimization mathematical model with the maximum annual comprehensive benefit of charging station as the objective function and the demand of electric vehicle users and the capacity of charging station as constraints is established. The hybrid differential swarm algorithm is used to optimize the layout of centralized charging stations for electric vehicles. A practical example is given to verify the feasibility and reliability of the proposed model and algorithm. Finally, the paper considers the realization of power grid peak shaving through centralized charge and discharge of electric vehicle power battery in different periods, and compares and analyzes the situation of large-scale electric vehicle participating in power grid peak regulation with actual data. The results show that the participation of large-scale electric vehicles in peak-shaving plays a significant role in reducing the peak and valley difference of load and reducing the pressure of power grid.
【學(xué)位授予單位】：東北電力大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：U491.8

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 卞棟;馬俊毅;黃薛凌;;考慮電動(dòng)汽車B2G模式和分布式電源的配電網(wǎng)重構(gòu)模型[J];智能電網(wǎng);2016年01期

2 張聰;張祥文;夏俊榮;孫海順;汪春;許曉慧;吳可;;電動(dòng)汽車實(shí)時(shí)可調(diào)度容量評(píng)估方法研究[J];電力系統(tǒng)保護(hù)與控制;2015年22期

3 劉海璇;曾平良;馬軍;許曉慧;;基于B2G模式下電動(dòng)汽車參與電網(wǎng)互動(dòng)運(yùn)行策略[J];電力建設(shè);2015年07期

4 徐智威;胡澤春;宋永華;張洪財(cái);陳曉爽;;基于動(dòng)態(tài)分時(shí)電價(jià)的電動(dòng)汽車充電站有序充電策略[J];中國電機(jī)工程學(xué)報(bào);2014年22期

5 袁加妍;潘瑩;張娥;;電動(dòng)汽車充(換)電站選址評(píng)價(jià)體系的構(gòu)建[J];電力與能源;2014年03期

6 郭童;林峰;;基于混合差分蜂群算法的貝葉斯網(wǎng)絡(luò)結(jié)構(gòu)學(xué)習(xí)[J];模式識(shí)別與人工智能;2014年06期

7 所麗;唐巍;白牧可;張璐;;考慮削峰填谷的配電網(wǎng)集中型充電站選址定容規(guī)劃[J];中國電機(jī)工程學(xué)報(bào);2014年07期

8 張成;滕歡;;電動(dòng)汽車充電站規(guī)劃模型及評(píng)價(jià)方法[J];電力系統(tǒng)及其自動(dòng)化學(xué)報(bào);2014年01期

9 高亞靜;郭艷東;李天天;;城市電動(dòng)汽車充電站兩步優(yōu)化選址方法[J];中國電力;2013年08期

10 劉堅(jiān);胡澤春;;電動(dòng)汽車作為電力系統(tǒng)儲(chǔ)能應(yīng)用潛力研究[J];中國能源;2013年07期

，

本文編號(hào)：2407751