Journal of South China University of Technology (Natural Science Edition) ›› 2016, Vol. 44 ›› Issue (11): 133-139.doi: 10.3969/j.issn.1000-565X.2016.11.020

• Power & Electrical Engineering • Previous Articles     Next Articles

Load Probability Analysis and Energy Storage Optimization of Distribution Networks of PV Generation

XIA Cheng-jun1 LIANG Jun-jun1 SONG Xu-dong2,3 YU Nan-hua2   

  1. 1.School of Electric Power,South China University of Technology,Guangzhou 510640,Guangdong,China; 2.Electric Power Research Institute of Guangdong Power Grid Corporation,Guangzhou 510080,Guangdong,China; 3.Guangdong Provincial Key Laboratory of Smart Grid Technology,Guangzhou 510080,Guangdong,China
  • Received:2015-11-09 Revised:2016-03-04 Online:2016-11-25 Published:2016-10-04
  • Contact: 夏成军( 1974-) ,男,博士,副教授,主要从事电力系统运行分析与规划研究. E-mail:37229926@qq.com
  • About author:夏成军( 1974-) ,男,博士,副教授,主要从事电力系统运行分析与规划研究.
  • Supported by:
    Supported by the National High-Tech R&D Program of China( 2012AA050212)

Abstract:

The PV access to distribution networks can cause the volatility and uncertainty of load to increase,which has a certain effect on the capacity planning of power transmission and distribution equipment.In this paper,on the basis of the probability analysis of both PV power and load in longitudinal moment,supply load is reduced by introducing a risk parameter.Then,energy storage is taken as a measure to shift electricity from peak periods to offpeak periods,so as to handle the probabilistic risk after reducing the supply load.On the basis of this principle,the energy storage capacity is optimized,and the balance between risk and economics as well as the risk factor corresponding to a maximum economic benefit is achieved.Case analyses show that the proposed method in this paper can bring certain economic benefits for the device capacity planning of distribution networks.

Key words: distribution networks, PV power, uncertainty, risk factor, energy storage capacity