南方电网技术2016，Vol.10Issue(10)：11-17,7.DOI:10.13648/j.cnki.issn1674-0629.2016.10.002
一种考虑DG参数随机性的改进LHS概率谐波潮流算法
An Improved LHS Probabilistic Harmonic Power Flow Algorithm Considering the Randomness of DG Parameters
邵振国 1苏文博2
作者信息
- 1. 福州大学电气工程与自动化学院，福州350116
- 2. 国家电网泉州供电公司，福建泉州362000
- 折叠
摘要
Abstract
It is necessary to analyze the impact of various operation conditions on the harmonic of power grid in distributed generation (DG)access programing. In view of large calculation quantity deficiency of Monte-Carlo probabilistic harmonic flow method which need large sample quantity to ensure calculation accuracy,firstly,partial decoupling harmonic flow method is adopted to solve the de-terministic harmonic flow,and voltage harmonics distortion rate close to the limit is chosen as kernel samples. Secondly,important sampling method is used to make Latin hypercube sampling have higher probability to focus on the concerned parameter region,thus the size of samples is reduced,then the validity and correctness of the proposed method in IEEE-30 node test system is verified. Final-ly,the impact of amplitude correlation and harmonic phase randomness of distribution generation on the distortion rate of harmonic voltage in IEEE 33-bus system is computed and analyzed,and it is necessary to consider the amplitude correlation and harmonic phase randomness when optimizing the access of DG.关键词
分布式电源/非线性负荷/概率谐波潮流/拉丁超立方采样法/重要抽样法Key words
distributed generation/non-linear loads/probabilistic harmonic flow/Latin hypercube sampling/important sampling method分类
信息技术与安全科学引用本文复制引用
邵振国,苏文博..一种考虑DG参数随机性的改进LHS概率谐波潮流算法[J].南方电网技术,2016,10(10):11-17,7.
