DocumentCode
3388903
Title
Three-Phase Probabilistic Power Flow in Distribution System with Grid-Connected Photovoltaic Systems
Author
Ding, Ming ; Wu, Xinglong
Author_Institution
Res. Center for Photovoltaic Syst. Eng., Hefei Univ. of Technol., Hefei, China
fYear
2012
fDate
27-29 March 2012
Firstpage
1
Lastpage
6
Abstract
This paper analyzes a method of three-phase probabilistic power flow in unbalanced radial distribution system with single-phase and three-phase grid-connected photovoltaic (PV) systems using sequential Monte Carlo techniques. The output power of grid-connected PV system is simulated for each hour, considering the solar irradiance with random variation of weather, the effect of shadow, the conversion efficiency´s change of the photovoltaic arrays with time, the efficiency of PV inverter and the reliability of the overall photovoltaic system. Then the time-varying load model with randomness is incorporated in the probabilistic power flow and a program has been developed based on the method. At last, two cases have been implemented to verify the applicability of the method by giving the probability of voltages beyond limit for each hour in one day.
Keywords
Monte Carlo methods; invertors; load flow; photovoltaic power systems; power distribution reliability; power generation reliability; power grids; probability; solar cell arrays; PV inverter efficiency; conversion efficiency change; grid-connected photovoltaic systems; photovoltaic arrays; photovoltaic system reliability; sequential Monte Carlo techniques; single-phase grid-connected PV systems; single-phase grid-connected photovoltaic systems; solar irradiance; three-phase grid-connected PV systems; three-phase grid-connected photovoltaic systems; three-phase probabilistic power flow; time-varying load model; unbalanced radial distribution system; Inverters; Load flow; Meteorology; Photovoltaic systems; Probabilistic logic; Sun;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location
Shanghai
ISSN
2157-4839
Print_ISBN
978-1-4577-0545-8
Type
conf
DOI
10.1109/APPEEC.2012.6307154
Filename
6307154
Link To Document