本文選題：電動(dòng)汽車(chē) + 路徑選擇��； 參考：《電力系統(tǒng)自動(dòng)化》2017年11期

【摘要】：適當(dāng)選擇電動(dòng)汽車(chē)(EV)路徑并優(yōu)化充電導(dǎo)航,有助于提高用戶出行效率及緩解大量EV同時(shí)充電對(duì)配電系統(tǒng)安全運(yùn)行的影響。在此背景下,提出借助群智感知技術(shù)來(lái)獲得實(shí)時(shí)交通路況和充電站服務(wù)信息,并在此基礎(chǔ)上利用矩陣分解得到交通信息矩陣。之后,在考慮路徑選擇、到達(dá)時(shí)間、電池容量及充放電狀態(tài)互斥約束的前提下,構(gòu)建了分時(shí)電價(jià)機(jī)制下以用戶出行總成本最小為目標(biāo)的EV路徑選擇和充電導(dǎo)航優(yōu)化模型。以某市中心25km×25km區(qū)域內(nèi)所包含的4座快速充電站連接到IEEE 33節(jié)點(diǎn)配電系統(tǒng)為例來(lái)說(shuō)明所述方法的基本特征,并針對(duì)考慮和不考慮實(shí)時(shí)交通信息情形,分析了參與群智感知的EV數(shù)量對(duì)用戶出行路徑及EV充放電對(duì)配電系統(tǒng)的影響。
[Abstract]:The proper selection of electric vehicle (EV) path and the optimization of charging navigation will help to improve the travel efficiency of users and alleviate the impact of a large number of EV charging simultaneously on the safe operation of distribution system. Under this background, the real-time traffic information and charging station service information are obtained by using group intelligence perception technology, and then the traffic information matrix is obtained by matrix decomposition. After that, considering the constraints of path selection, arrival time, battery capacity and charge / discharge states, an EV path selection and charging navigation optimization model with the goal of minimizing the total travel cost of the user under the time-sharing pricing mechanism is constructed. Taking the four fast charging stations in a downtown 25km 脳 25km area as an example to illustrate the basic characteristics of the proposed method, considering and disregarding the real-time traffic information, an example is given to illustrate the basic characteristics of the proposed method, which is connected to the IEEE33-bus distribution system. The effects of the number of EV participating in group intelligence perception on the travel path of users and the charging and discharging of EV on the distribution system are analyzed.
【作者單位】： 湖南省電動(dòng)交通與智能配網(wǎng)工程技術(shù)研究中心長(zhǎng)沙理工大學(xué)電氣與信息工程學(xué)院;國(guó)網(wǎng)江蘇省電力公司興化市供電公司;浙江大學(xué)電氣工程學(xué)院;文萊科技大學(xué)電機(jī)與電子工程系;澳大利亞聯(lián)邦科學(xué)與工業(yè)研究組織;香港中文大學(xué)(深圳)科學(xué)與工程學(xué)院;
【基金】：國(guó)家自然科學(xué)基金資助項(xiàng)目(71331001) 中國(guó)南方電網(wǎng)有限責(zé)任公司科技項(xiàng)目(WYKJ00000027) 湖南省重點(diǎn)研發(fā)科技項(xiàng)目(2016WK2015)~~
【分類(lèi)號(hào)】：TM73
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本文編號(hào)：2089331