Journal of South China University of Technology (Natural Science Edition) ›› 2015, Vol. 43 ›› Issue (4): 112-118.doi: 10.3969/j.issn.1000-565X.2015.04.016

• Power & Electrical Engineering • Previous Articles     Next Articles

Influence of Illumination Probability of Photovoltaic System on Voltage of Power Distribution Networks

Chen Xu1 Yang Yu-yao1 Zhang Yong-jun1 Ye Lin-hao2   

  1. 1. School of Electrical Power,South China University of Technology,Guangzhou 510640,Guangdong,China;2. Planning and Development Department,Foshan Power Supply Bureau,Foshan 528000,Guangdong,China
  • Online:2015-04-25 Published:2015-03-03
  • Contact: 张勇军(1973-),男,教授,博士生导师,主要从事电力系统无功优化和电压稳定等研究. E-mail:epyzhang@scut.edu.cn
  • About author:陈旭(1976-),男,博士生,主要从事主动配电网的规划与控制研究. E-mail: chenxu@ csg. cn
  • Supported by:
    Supported by the National Natural Science Foundation of China (NSFC)(51377060)

Abstract: In order to explore the reactive voltage characteristics of power distribution networks affected by the grid-connected photovoltaic (PV) system,a probabilistic distribution model of PV power generation system is estab-lished based on the Beta-distribution of solar irradiance. Then,by taking into consideration the probabilistic impact of solar radiance on the output of PV power generation system,the PV outputs in three typical weather conditions,namely a low cloudiness day,a cloudless day and a partly cloudy day,are simulated,and the probabilistic output of PV power generation system in continuous time sections is obtained,which is used to perform the power flow cal-culation in turn. Moreover,the calculated power flow is compared with that obtained by using the constant power model. Finally,an example is given to analyze the laws of voltage distribution and voltage amplitude fluctuation in grid-connected PV distribution networks. The results also show that,as compared with the conventional constant power model,the established probabilistic model reflects the randomness and volatility of PV output better.

Key words: distributed photovoltaic power generation, power distribution network, probabilistic model, voltage amplitude fluctuation