Probabilistic Harmonic Analysis on Distributed Photovoltaic Integration Considering Typical Weather Scenarios

2017 2nd Asia Conference on Power and Electrical Engineering

能源学;电工学

Che, Bin^1 ; Yu, Ruoying^2 ; Dang, Dongsheng^1 ; Wang, Xiangyan^2

State Grid Ningxia Electric Power Company, Economic Research Institute, Yinchuan, Ningxia

750002, China^1

State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems, China Electric Power Research Institute, Beijing

100192, China^2

关键词: Different frequency;    Distributed networks;    Harmonic pollution;    Monte Carlo simulation methods;    Parameter identification methods;    Probabilistic distribution;    Probabilistic distribution function;    Probabilistic methods;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/199/1/012012/pdf
DOI  :  10.1088/1757-899X/199/1/012012

来源: IOP

【 摘 要 】

Distributed Generation (DG) integrating to the network would cause the harmonic pollution which would cause damages on electrical devices and affect the normal operation of power system. On the other hand, due to the randomness of the wind and solar irradiation, the output of DG is random, too, which leads to an uncertainty of the harmonic generated by the DG. Thus, probabilistic methods are needed to analyse the impacts of the DG integration. In this work we studied the harmonic voltage probabilistic distribution and the harmonic distortion in distributed network after the distributed photovoltaic (DPV) system integrating in different weather conditions, mainly the sunny day, cloudy day, rainy day and the snowy day. The probabilistic distribution function of the DPV output power in different typical weather conditions could be acquired via the parameter identification method of maximum likelihood estimation. The Monte-Carlo simulation method was adopted to calculate the probabilistic distribution of harmonic voltage content at different frequency orders as well as the harmonic distortion (THD) in typical weather conditions. The case study was based on the IEEE33 system and the results of harmonic voltage content probabilistic distribution as well as THD in typical weather conditions were compared.