含电动汽车微网经济优化研究

发布时间：2019-06-10 03:13

【摘要】：微网经济调度是微网系统优化运行的关键。微网中风、光等分布式电源具有间歇性、随机性的特点,其大规模接入微电网将给电网带来较大的冲击。近年来,受能源、环境的双重压力,电动汽车EV(Electric Vehicle)受到了各国政府、能源企业以及汽车厂商的广泛关注。电动汽车这种移动车载储能装置以“车-网”互动V2G(Vehicle to Grid)模式接入微网能起到削峰填谷、平抑可再生能源的间歇性的作用。因此研究有电动汽车参与的微网优化运行问题显得尤为重要和必要。本文的主要目的是探究电动汽车接入微网对微网经济性带来的影响。本文首先介绍了目前微网的研究现状以及V2G技术的现状,分析了电动汽车接入微网带来的机遇和挑战,得出了电动汽车接入微网运行的迫切性以及其优势。其次根据光伏、风机、冷热电联产系统、燃料电池、蓄电池以及电动汽车的排放特性以及运行特性分别建立了发电成本、排放成本、冷热收益以及维护成本等数学模型。然后介绍了里程焦虑这一概念并针对电动汽车用户里程焦虑这一问题根据其里程焦虑程度大小提出了3种电动汽车的充放电策略,随后根据综合成本最低这一目标分别建立含电动汽车微网在并网和孤岛运行状态下经济优化模型。最后通过采用变惯性权重的改进粒子群算法对目标函数进行求解,并通过算例分析分别给出了在并网运行条件下含电动汽车微网不同典型日下不同里程焦虑模式下微源的最优出力情况和电能交易情况,以及在孤岛运行模式下含电动汽车微网不同典型日下微源最优出力情况,并分析了电动汽车接入微网的经济性。证了模型的合理性和有效性。
[Abstract]:The economic scheduling of microgrid is the key to the optimal operation of microgrid system. Microgrid stroke, optical and other distributed power supply has the characteristics of intermittent and random, and its large-scale access to microgrid will bring great impact to the power grid. In recent years, due to the dual pressure of energy and environment, electric vehicle EV (Electric Vehicle) has been widely concerned by governments, energy enterprises and automobile manufacturers. Electric vehicle, a mobile vehicle energy storage device, can cut peaks and fill valleys by using "car-net" interactive V2G (Vehicle to Grid) mode to connect to micronetworks, and can calm the intermittent of renewable energy. Therefore, it is particularly important and necessary to study the optimal operation of microgrid with the participation of electric vehicles. The main purpose of this paper is to explore the impact of electric vehicle access to microgrid on microgrid economy. This paper first introduces the current research status of microgrid and the present situation of V2G technology, analyzes the opportunities and challenges brought by electric vehicle access to microgrid, and obtains the urgency and advantages of electric vehicle access to microgrid. Secondly, according to the emission characteristics and operation characteristics of photovoltaic, fan, cogeneration system, fuel cell, battery and electric vehicle, the mathematical models of power generation cost, emission cost, cold and heat benefit and maintenance cost are established respectively. Then, the concept of mileage anxiety is introduced, and three kinds of charging and discharging strategies of electric vehicle are put forward according to the degree of mileage anxiety in view of the problem of mileage anxiety of electric vehicle users. Then, according to the goal of the lowest comprehensive cost, the economic optimization models of microgrid with electric vehicle in the state of grid connection and isolated island operation are established respectively. Finally, the objective function is solved by using the improved particle swarm optimization algorithm with variable inertia weight. The optimal output and power trading of micro-sources with different mileage anxiety modes under different typical mileage anxiety modes of electric vehicles under the condition of grid-connected operation are given by an example. The optimal output of micro-source with different typical daily microgrid in isolated island operation mode is analyzed, and the economy of electric vehicle connecting to microgrid is analyzed. The rationality and effectiveness of the model are proved.
【学位授予单位】：江苏大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM727

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