本文關(guān)鍵詞：基于充電設(shè)備綜合效率的充電服務(wù)優(yōu)化研究　出處：《北京交通大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 電動汽車 充電站 充電設(shè)備綜合效率 優(yōu)化調(diào)度

【摘要】：近年來,節(jié)能環(huán)保、治理大氣霧霾成為社會熱點(diǎn)問題備受公眾關(guān)注,以電動汽車為主的新能源汽車成為交通領(lǐng)域?qū)崿F(xiàn)節(jié)能減排的有效途徑之一。在各國政府和大型企業(yè)的共同推動下,電動汽車與充電站產(chǎn)業(yè)迅速的發(fā)展起來。 在電動汽車快速發(fā)展的同時(shí),充電站運(yùn)營企業(yè)缺少充電設(shè)備使用情況的評價(jià)標(biāo)準(zhǔn),無法對已運(yùn)營充電站以及整體充電服務(wù)網(wǎng)絡(luò)作出有效的規(guī)劃管理。電動汽車用戶根據(jù)自身需求無序隨意的充電行為,必然對充電站的經(jīng)濟(jì)性運(yùn)行帶來負(fù)面影響。因此,有必要建立充電設(shè)備評價(jià)標(biāo)準(zhǔn),并通過電動汽車作為可移動性強(qiáng)且可控的負(fù)荷,研究一種有效的優(yōu)化調(diào)度方案來提高充電服務(wù)網(wǎng)絡(luò)的總體效率。 本文首先對國內(nèi)外電動汽車和充電站的發(fā)展現(xiàn)狀和產(chǎn)業(yè)政策做了深度的剖析,結(jié)合國內(nèi)外的發(fā)展經(jīng)驗(yàn),分析了影響我國充電站基礎(chǔ)設(shè)施發(fā)展的瓶頸因素,提出了充電服務(wù)網(wǎng)絡(luò)建設(shè)有利于充電站和電動汽車的進(jìn)一步發(fā)展。 其次,結(jié)合深圳市現(xiàn)已投入運(yùn)營充電站的調(diào)研數(shù)據(jù)分析結(jié)果,提出了一種基于時(shí)間利用率、功率轉(zhuǎn)化率和功率使用率的充電設(shè)備綜合效率計(jì)算方法。將這種運(yùn)算方法應(yīng)用到實(shí)際運(yùn)行的充電設(shè)備中,對充電站內(nèi)部設(shè)備的使用情況做出評價(jià)。從時(shí)間和能耗的角度,分析了充電設(shè)備使用不均衡的現(xiàn)象,找到了影響充電設(shè)備綜合效率偏低的因素,并提出了相應(yīng)的完善方案。 最后,根據(jù)充電設(shè)備綜合效率中時(shí)間利用率不均衡分布的現(xiàn)象,以滿足電動汽車用戶充電需求和充電站總體網(wǎng)絡(luò)效益最大化為目標(biāo),研究了充電網(wǎng)絡(luò)的優(yōu)化調(diào)度方法。采用粒子群算法對優(yōu)化方法進(jìn)行了仿真,通過仿真結(jié)果與實(shí)際數(shù)據(jù)進(jìn)行對比,實(shí)現(xiàn)了充電服務(wù)網(wǎng)絡(luò)內(nèi)充電設(shè)備總體的均勻使用,避免了因充電用戶盲目隨意地選擇充電站而造成的部分充電站擁擠而另一部分充電站閑置的現(xiàn)象發(fā)生,驗(yàn)證了充電服務(wù)優(yōu)化調(diào)度方法的有效性。
[Abstract]:In recent years, energy conservation and environmental protection, the management of atmospheric haze has become a hot issue of public concern. New energy vehicles, which are mainly electric vehicles, have become one of the effective ways to realize energy saving and emission reduction in the field of transportation. With the joint promotion of governments and large enterprises, the electric vehicles and charging stations industry has developed rapidly. With the rapid development of electric vehicles, charging station operators lack the evaluation criteria for the use of charging equipment. The charging station and the whole charging service network can not be effectively planned and managed. The charging behavior of electric vehicle users is disordered and random according to their own needs. Therefore, it is necessary to establish a charging equipment evaluation standard and use electric vehicles as a mobile and controllable load. An effective scheduling scheme is proposed to improve the overall efficiency of charging service network. In this paper, the development of electric vehicles and charging stations at home and abroad and industrial policies are analyzed in depth, combined with domestic and foreign development experience, analysis of the bottleneck factors affecting the development of charging station infrastructure in China. It is pointed out that the construction of charging service network is beneficial to the further development of charging stations and electric vehicles. Secondly, based on the results of investigation and analysis of Shenzhen charging station, a new method based on time utilization is proposed. The method of calculating the comprehensive efficiency of charging equipment for power conversion and power utilization rate. The calculation method is applied to the charging equipment in actual operation. From the point of view of time and energy consumption, the unbalanced use of charging equipment is analyzed, and the factors that affect the overall efficiency of charging equipment are found. And put forward the corresponding consummation plan. Finally, according to the uneven distribution of time utilization ratio in the comprehensive efficiency of charging equipment, the goal is to meet the charging needs of electric vehicle users and maximize the overall network benefits of charging stations. The optimal scheduling method of charging network is studied. Particle swarm optimization algorithm is used to simulate the optimization method. The simulation results are compared with the actual data. It realizes the uniform use of charging equipment in the charging service network, and avoids the phenomenon that charging stations are crowded and another part of charging stations are idle because charging users blindly and arbitrarily choose charging stations. The effectiveness of the optimal scheduling method for charging service is verified.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U491.8;TM910.6

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