Bivariate stochastic model of current harmonic analysis in the low voltage distribution grid; pp. 190–206

Proceedings of the Estonian Academy of Sciences

article

Muhammad Naveed Iqbal¹  Lauri Kütt¹  Kamran Daniel¹  Marek Jarkovoi¹  Bilal Asad¹  Noman Shabbir¹ 

[1] Department of Power Engineering and Mechatronics, Tallinn University of Technology;Department of Electrical, Electronics and Telecommunication Engineering, University of Engineering and Technology ,(FSD Campus);Department of Electrical Engineering and Automation, Aalto University

关键词: probabilistic assessment;    network uncertainties;    current harmonics;    load modelling;   

DOI  :  10.3176/proc.2021.2.08

学科分类：内科医学

来源: Teaduste Akadeemia Kirjastus

【 摘 要 】

This paper presents a bottom-up bivariate analysis approach to estimate current harmonics by taking account of network and load variations. The current harmonics assessment in the presence of existing and future nonlinear loads is vital to study their impact on the distribution grid. The traditional harmonic analysis models consider only stable loads while neglecting the harmonic interaction among the devices. Modern nonlinear loads operate under different working modes and configurations. Thermal stability, harmonic cancellation, and dynamic network parameters influence the current harmonic estimations. In this paper, a probabilistic approach is presented to model harmonic emission in the low voltage distribution grid under network and load uncertainties. A case study is used to demonstrate effectiveness of the proposed model.

【 授权许可】

CC BY