摘要
分析了电动汽车、风力发电机和光伏组件的动态概率模型,考虑了输入变量间的相关性。采用基于拉丁超立方采样的蒙特卡罗法进行动态概率潮流计算,得到节点电压和支路潮流的数字特征,应用非参数核密度估计得到概率分布曲线。针对IEEE33节点配电网系统,进行仿真测试,验证了算法的正确性和高效性。
Dynamic probabilistic models for electric vehicles,wind turbines and PV modules are analyzed with the correlation of the input variables taken into account. Probabilistic power flow calculation based on Latin hypercube sampling Monte Carlo simulation was conducted to obtain the numerical features of nodal voltages and branch power flows. The probability distribution curves were derived based on the nonparametric kernel density estimation. Simulation testing was made for IEEE 33-bus distribution system,which verified the correctness and efficiency of the proposed algorithm.
出处
《华东电力》
北大核心
2014年第6期1104-1109,共6页
East China Electric Power
基金
国家自然科学基金项目(51277052
51107032
61104045)~~
关键词
电动汽车
分布式电源
配电网
动态概率潮流
electric vehicle
distributed generation
distribution system
dynamic probabilistic power flow
