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A Study On Optimal Planning Of The Battery Switch Station

Posted on:2013-10-30Degree:MasterType:Thesis
Country:ChinaCandidate:C N WangFull Text:PDF
GTID:2232330374964752Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
There are growing concerns around the world about energy independence and global warming issues. At present, many countries are actively promoting the electric vehicle industry. And with the emission reduction scheme introduced, increasing number of electric vehicles have been planned in many countries. And the site and size of electric vehicle battery-switch station has a great impact on the popularisation of electric vehicle and planning of distribution network. So it’s very important to studying sizing and sitting of the battery switch station (BBS). In this paper, issues with electric vehicle battery-switch station in the existing power grid are discussed.First, the development of electric vehicle industry is introduced briefly. Then a systematic analysis of the necessity and feasibility of developing the electric vehicle industry and five major advantages of using BSS are discussed in this paper.Second, summarize load forecasting methods of the electric vehicle charging station in literatures. Then a novel method for battery-switch station and a demand model of battery switch station’s user groups are proposed. This demand model is based on analysis of the users’ characteristics. And different demand models are built for variety types of user groups.Third, according to the power system static security constraints, a penetration capacity computing model of the V2G BSS in distribution network is establishd. Then a numerical example is solved and some general law of penetration capacity of the BSS are summarized from the result of this example.At last, this paper focuse on analyzing the major factors of affecting the planning of electric vehicles’battery switch station, and a novel optimization modelfor planning of battery-switch station is proposed. The objective function includes such variable as network loss cost, building cost and running cost of a particular battery-switch station, electrovalence, selling of electricity and so on. The constraint functions include the reliability of the power system, demand of users, and the limitation of electric vehicles’ max-mileage and so on. Then, a text example is carried out to demonstrate the performance of the model and the method.
Keywords/Search Tags:Battery switch station (BSS), demand forecasting of the BSS, penetrationcapacity, planning of the BSS
PDF Full Text Request
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