考虑馈线过载约束的分布式电动汽车充电控制策略

发布时间：2018-06-28 01:51

本文选题：电动汽车 + 馈线过载约束　；参考：《北京理工大学》2016年硕士论文

【摘要】：为了减少对燃油的消耗,保护我们赖以生存的环境,越来越多的人开始选择驾驶电动汽车。然而电动汽车的普及也带来了一些问题。由于原有配电网络中馈线容量的不足,过大的负荷可能会使整个网络崩溃。出于这个原因,我们十分有必要限制每根配电馈线上通过的电量。因此,设计一个有效的充电控制算法让电动汽车适应现有的配电网络是十分有意义的。本文首先建立了电动汽车充电模型,本文选用的用于电动汽车充电的配电网络模型呈树状结构,在配电网络中,配电站位于树状结构的根节点上。每根馈线都有自己的过载约束条件。在集中式控制的模型中,系统成本由各辆电动汽车的电价成本以及电池退化成本的总和构成。在分布式控制的模型中,个体成本由各辆电动汽车自身的电价成本和电池退化成本组成。然后,本文提出了一种考虑馈线过载约束的集中式电动汽车充电算法,并通过仿真验证了算法的其有效性。接着,本文在考虑馈线过载约束的情况下,为电动汽车设计了一种分布式充电算法。算法采用串行迭代的方式,每辆电动汽车根据最新的电价和馈线过载信息更新自己的充电策略,在保证馈线不过载的前提下,使个体成本函数最小。在若干步的迭代后,得到一个局部最优充电控制策略。最后,本文运用图表的形式对于分布式算法中得到的局部最优充电策略与集中式算法中得到的全局最优充电策略进行了比较,得到了二者基本相同的结论。此外,我们还将本文中的分布式充电算法和同样考虑馈线过载约束的其他文献中的算法进行了比较,从而证明了本算法在迭代步数等方面的优势。
[Abstract]:In order to reduce fuel consumption and protect our environment, more and more people choose to drive electric cars. However, the popularity of electric vehicles has also brought some problems. Because of the shortage of feeder capacity in the original distribution network, excessive load may cause the whole network to collapse. For this reason, it is necessary to limit the amount of electricity passing through each distribution feeder. Therefore, it is very meaningful to design an effective charging control algorithm for electric vehicles to adapt to the existing distribution network. In this paper, the electric vehicle charging model is first established. The distribution network model used for electric vehicle charging in this paper presents a tree structure. In the distribution network, the distribution station is located on the root node of the tree structure. Each feeder has its own overload constraint. In the centralized control model, the system cost consists of the sum of the electric price cost of each electric vehicle and the cost of battery degradation. In the model of distributed control, the individual cost consists of the cost of electric vehicle itself and the cost of battery degradation. Then, this paper presents a charging algorithm for centralized electric vehicles with feed-line overload constraints, and the simulation results show that the algorithm is effective. Then, this paper designs a distributed charging algorithm for electric vehicles considering the overload constraints of the feeder. The algorithm adopts serial iteration method, each electric vehicle updates its charging strategy according to the latest pricing and overload information of feeder line, and makes the individual cost function minimum on the premise that the feeder is not loaded. After several steps of iteration, a local optimal charging control strategy is obtained. Finally, the paper compares the local optimal charging strategy in the distributed algorithm with the global optimal charging strategy in the centralized algorithm in the form of charts, and obtains the same conclusion. In addition, we compare the distributed charging algorithm in this paper with the other algorithms in other literatures, which also consider the overload constraints of the feeder line, thus proving the advantages of this algorithm in iterative step number and so on.
【学位授予单位】：北京理工大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TM910.6

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