基于SVM预测电动汽车并网局部电压稳定的研究
吴恒，余秋鹏
（国网江苏省电力有限公司宿迁供电分公司, 江苏 宿迁 223800）
摘 要：以IEEE14节点系统作为电动汽车随机并网充电的模型，通过基于MATLAB仿真环境的PSAT软件分别计算出电动汽车随机并网充电时充电母线和相邻母线的电压和相角参数，从而得出相应的局部电压稳定性指标(L 指标)。运用支持向量机(SVM) 算法对电压L 指标进行训练和预测，结果表明，支持向量机算法简单高效，有助于预测电动汽车随机接入并网充电对电网电压稳定L 指标的影响。通过仿真算例得出电动汽车随机接入电网不仅对自身母线产生电压稳定的影响，而且对相邻的母线电压稳定也产生较大的影响，其中对于电动汽车并网充电的中部母线产生的电压稳定影响最大，最容易导致电压稳定事故。
关键词：电动汽车；并网充电；电压稳定L 指标；支持向量机(SVM)
中图分类号：TM712；U469.72 文献标识码：A 文章编号：1007-3175(2019)10-0009-05
Research on Prediction of Local Voltage Stability of Electric Vehicles Based on SVM
WU Heng,YU Qiu-peng
（State Grid Jiangsu Electric Power Co., Ltd, Suqian Power Supply Company, Suqian 223800, China）
Abstract: Taking the IEEE 14-bus system as the model of random grid charging of electric vehicles, this paper used the software PSAT in MATLAB simulation environment to respectively calculate the random grid charging electric vehicle charging bus and adjacent bus voltage and phase parameters, to obtain the corresponding index L of local voltage stability. The support vector machine (SVM) algorithm was used to train and predict the index L. The results show that the SVM algorithm is simple and efficient, helpful to predict the impact of random grid charging of electric vehicles on the grid voltage index L. Through simulation examples, it is concluded that the random access of the electric vehicle to the grid not only affects the voltage stability of its own bus, but also has a greater impact on the stability of the adjacent bus voltage, of which the voltage stability impact generated by the central bus of the electric vehicle connected to the grid is the maximum, easy to cause a voltage stability accident.
Key words: electric vehicle; grid charging; voltage stability index L; support vector machine
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