本文選題：電動汽車充換電站 + bass市場擴散模型�。� 參考：《哈爾濱工業(yè)大學》2015年碩士論文

【摘要】：近年來,隨著經(jīng)濟社會的高速發(fā)展,電動汽車技術(shù)的發(fā)展引起了眾多關(guān)注。充換電設(shè)施作為普及電動汽車的配套設(shè)施,它的普及制約和影響著電動汽車的市場拓展。在城市內(nèi)系統(tǒng)建設(shè)充換電設(shè)施網(wǎng)絡(luò)有利于電動汽車市場的推廣,研究充換電站的選址優(yōu)化理論有助于充換電站規(guī)模化建設(shè)。對比分析了電動汽車的能源補充模式及充換電設(shè)施的建設(shè)模式,明確了充換電站的建設(shè)要求,從市場經(jīng)濟學的角度運用bass市場擴散模型對電動汽車的市場分擔率進行預測,依據(jù)建立的電動汽車bass擴散模型來計算規(guī)劃區(qū)域電動汽車保有量,分別計算電動汽車不同能源補充模式下的充換電需求量以及各類充換電設(shè)施的規(guī)模,基于此研究電動汽車充換電站選址優(yōu)化。電動汽車充換電站的優(yōu)化選址有別于傳統(tǒng)能源補充類站點,其不同的特性決定了其選址方法的不同。本文從不同角度考慮充換電站的建站特點,分別分析考慮租賃服務(wù)、用戶充換電成本以及充換電優(yōu)先通道三種情況下充換電站選址的影響因素,考慮擬建站址個數(shù)及充換電需求為約束,以成本最小為目標函數(shù),構(gòu)建了基于運輸規(guī)劃模型的考慮電動汽車租賃服務(wù)的換電站選址模型、基于P-median模型的考慮用戶充換電成本的充換電站優(yōu)化選址模型,分析了加入優(yōu)先通道之后的充換電站優(yōu)化選址模型的變化。使用本文的優(yōu)化選址模型對北京市電動汽車充換電站進行規(guī)劃選址,通過對算例優(yōu)化的結(jié)果可以得出,該模型能夠?qū)σ?guī)劃區(qū)域內(nèi)的充換電站選址問題進行優(yōu)化,使規(guī)劃區(qū)域內(nèi)的充換電站總成本最小,表明本文提出的研究選址問題的方法具有一定合理性和可操作性。
[Abstract]:In recent years, with the rapid development of economy and society, the development of electric vehicle technology has attracted a lot of attention. As a necessary facility for popularizing electric vehicles, the popularization of charging and switching facilities restricts and affects the market expansion of electric vehicles. It is helpful to popularize the electric vehicle market by constructing the network of charging and switching facilities in the city, and studying the theory of location optimization of the filling and changing power station is helpful to the large-scale construction of the charging and changing power station. This paper compares and analyzes the energy supplementary mode of electric vehicle and the construction mode of charging and changing facilities, clarifies the construction requirements of charging and changing power station, and forecasts the market share rate of electric vehicle by using bass market diffusion model from the point of view of market economy. According to the bass diffusion model of electric vehicle, the quantity of electric vehicle in planning area is calculated, and the demand for charge and replacement of electric vehicle under different energy supplementary mode and the scale of all kinds of charging and switching facilities are calculated, respectively. Based on this, the location optimization of electric vehicle filling and replacing power station is studied. The optimal location of electric vehicle recharge power station is different from that of the traditional energy supply station, and its different characteristics determine the different location methods. In this paper, the characteristics of charging and switching stations are considered from different angles, and the factors influencing the location of charging and switching stations are analyzed under the consideration of rental service, user charging and switching cost, and priority channels for charging and switching. Considering the number of stations to be built and the demand for charging and exchanging electricity as constraints, and taking the minimum cost as the objective function, a model of location selection of power station with consideration of electric vehicle rental service is constructed based on transportation planning model. Based on P-median model, the optimal location model of charging and switching power station considering the cost of user charging and switching is proposed, and the change of optimal location model of charging power station after adding priority channel is analyzed. The optimal location model is used to plan the location of the electric vehicle filling and replacing power station in Beijing. Through the optimization of the example, it can be concluded that the model can optimize the location problem of the charging and changing power station in the planning area. It is shown that the method proposed in this paper is reasonable and feasible to study the location problem by minimizing the total cost of charging and replacing power stations in the planning area.
【學位授予單位】：哈爾濱工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：U491.8

【參考文獻】

相關(guān)期刊論文 前6條

1 羅卓偉;胡澤春;宋永華;楊霞;占愷嶠;吳俊陽;;電動汽車充電負荷計算方法[J];電力系統(tǒng)自動化;2011年14期

2 張洪財;胡澤春;宋永華;徐智威;賈龍;;考慮時空分布的電動汽車充電負荷預測方法[J];電力系統(tǒng)自動化;2014年01期

3 李菱;李燕青;姚玉海;葛曼;;基于遺傳算法的電動汽車充電站的布局規(guī)劃[J];華東電力;2011年06期

4 魯莽;周小兵;張維;;國內(nèi)外電動汽車充電設(shè)施發(fā)展狀況研究[J];華中電力;2010年05期

5 許文超;牛濤;顏淋麗;韓鑫;;電動汽車充電站需求影響因素及預測方法[J];江蘇電機工程;2011年03期

6 陳峻,劉東,陳學武,王煒;城市停車設(shè)施選址模型與遺傳算法設(shè)計[J];中國公路學報;2001年01期

相關(guān)碩士學位論文 前1條

1 王歡林;電動汽車充電站選址定容研究[D];華北電力大學;2013年

，

本文編號：2012825