【摘要】：工業(yè)革命以后,人類社會不斷進(jìn)步,全球經(jīng)濟(jì)飛速發(fā)展,化石能源的使用在提高人類生活水平的同時(shí),也帶來了嚴(yán)重的環(huán)境污染和能源短缺問題,而這些問題正逐漸成為影響人類長遠(yuǎn)生存的重要因素。電動汽車的出現(xiàn),為以上問題提供了一種新的解決方案,得到全球各國政府大力支持,但是,大規(guī)模電動汽車作為用電負(fù)荷接入電網(wǎng)給電網(wǎng)的安全穩(wěn)定運(yùn)行帶來了巨大的壓力和挑戰(zhàn)。本課題提出了一種基于多信息網(wǎng)絡(luò)的電動汽車有序充電模型,該模型兼顧電動汽車車聯(lián)網(wǎng)、智能電網(wǎng)以及充電設(shè)備物聯(lián)網(wǎng)三方面因素,從電網(wǎng)負(fù)荷預(yù)測出發(fā)綜合考慮充電用戶歷史行為習(xí)慣和充電設(shè)備的歷史使用情況,實(shí)現(xiàn)充電汽車有序充電。同時(shí),該模型還最大限度地保證了電網(wǎng)側(cè)安全穩(wěn)定運(yùn)行和充電用戶及時(shí)方便充電的使用需求,并且根據(jù)分析得出充電設(shè)備運(yùn)營策略的優(yōu)劣,為充電設(shè)備運(yùn)營商調(diào)整運(yùn)營方案進(jìn)一步優(yōu)化區(qū)域有序充電服務(wù)提供了依據(jù)�；诙嗑W(wǎng)的有序充電管理系統(tǒng)是在車聯(lián)網(wǎng)、智能電網(wǎng)和物聯(lián)網(wǎng)多網(wǎng)數(shù)據(jù)融合的前提下實(shí)現(xiàn)的。隨著電動汽車行業(yè)整體的進(jìn)步與發(fā)展,相應(yīng)的配套網(wǎng)絡(luò)也在飛速完善,因此產(chǎn)生了海量的、異構(gòu)化的基礎(chǔ)數(shù)據(jù),這些數(shù)據(jù)集中在不同服務(wù)運(yùn)營商的信息系統(tǒng)中,彼此不能互融,為整體分析三網(wǎng)數(shù)據(jù)帶來了不可逾越的物理隔離。因此本課題首先構(gòu)建了基于REST(Representational State Transfer)的Web Service數(shù)據(jù)服務(wù)接口,利用REST輕便高效的數(shù)據(jù)交互方案,實(shí)現(xiàn)了三網(wǎng)數(shù)據(jù)在數(shù)據(jù)層級別的融合。然后,利用融合后的基礎(chǔ)數(shù)據(jù),完成對充電用戶行為習(xí)慣和充電設(shè)備使用熱度的分析處理,實(shí)現(xiàn)了多網(wǎng)絡(luò)數(shù)據(jù)在特征層和決策層進(jìn)一步融合,提出由電網(wǎng)側(cè)發(fā)起的主動調(diào)峰有序充電策略。最終完成了系統(tǒng)的實(shí)現(xiàn)以及在云服務(wù)平臺上的部署工作。
[Abstract]:After the industrial revolution, human society continued to progress and the global economy developed rapidly. The use of fossil energy not only improved the living standards of human beings, but also brought serious environmental pollution and energy shortage problems. These problems are gradually becoming an important factor affecting the long-term survival of human beings. The emergence of electric vehicles provides a new solution to these problems, with strong support from governments around the world, but, Large-scale electric vehicles (EVs), which are connected to the power grid as electric load, bring great pressure and challenge to the safe and stable operation of the grid. In this paper, an ordered charging model for electric vehicles based on multi-information network is proposed. The model takes into account three factors: the network of electric vehicles, the smart grid and the Internet of things of charging equipment. Considering the historical behavior of charging users and the historical usage of charging equipment, the orderly charging of charging vehicles can be realized based on the load forecasting of power grid. At the same time, the model can ensure the safe and stable operation of the power grid side and the timely and convenient charging requirements of the charging users, and according to the analysis, the advantages and disadvantages of the charging equipment operation strategy are obtained. It provides the basis for the operators to adjust the operation plan and further optimize the regional orderly charging service. The orderly charging management system based on multi-network is implemented under the premise of data fusion of car network, smart grid and Internet of things. With the progress and development of the electric vehicle industry as a whole, the corresponding supporting network is also improving rapidly, so it produces massive, isomerization basic data, which are concentrated in the information systems of different service operators, so they can't melt each other. For the overall analysis of the three networks of data brings an insurmountable physical isolation. Therefore, this paper first constructs the Web Service data service interface based on REST (Representational State Transfer), and realizes the integration of the three-network data at the data layer level by using the REST portable and efficient data exchange scheme. Then, by using the integrated basic data, the behavior habits of charging users and the heat intensity of charging equipment are analyzed and processed, and the multi-network data is further fused in the feature layer and decision layer. An active peak-shaving orderly charging strategy initiated by the grid side is proposed. Finally, the system is implemented and deployed on the cloud service platform.
【學(xué)位授予單位】：華北電力大學(xué)(北京)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：U491.8;TP315

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本文編號：2323054