摘要
为解决蒙特卡罗法的计算效率问题,提出小规模样本仿真与非参数概率密度估计法相结合的谐波概率潮流分析方法。在对核密度函数的带宽选择进行优选设计的基础上,利用核密度估计法对小样本仿真得到的谐波潮流结果集进行概率密度估计,得到受影响电网节点的谐波含量的概率分布。利用Open DSS配电网仿真工具对IEEE 13节点标准配电系统进行仿真实验,通过与蒙特卡罗法进行对比,验证了核密度估计方法的有效性和计算效率;与其他2种带宽选择方法的对比实验表明,所提带宽选择方法具备更好的带宽自适应性,且估计性能更优。
A method of harmonic probabilistic power-flow analysis combining the small-scale sample simulation with the non-parametric probability density estimation is proposed to solve the computational efficiency problem of Monte Carlo method. The kernel density estimation method with the optimally designed bandwidth selection of kernel density function is adopted to estimate the probabilistic density of the harmonic power-flow set achieved by the small-scale sample simulation for obtaining the harmonic probability distribution of affected nodes. Simulation is performed based on OpenDSS for Standard IEEE 13-bus distribution system and the results are compared with those by the Monte Carlo method to verify the effectiveness and efficiency of the proposed method. The comparative experiment shows that,the proposed bandwidth selection method has better bandwidth adaptability and estimation performance than other two bandwidth selection methods.
出处
《电力自动化设备》
EI
CSCD
北大核心
2017年第8期131-136,共6页
Electric Power Automation Equipment
基金
国家电网公司科技项目(SGRI-DL-71-15-008)~~
关键词
核密度估计
蒙特卡罗法
谐波概率潮流
非参数估计
OpenDSS
kernel density estimation
Monte Carlo methods
harmonic probabilistic power-flow
non- parametric estimation
OpenDSS
