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 :
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