Title :
Research on probabilistic power flow of the distribution system with Photovoltaic System Generation
Author :
Yao, Shujun ; Wang, Yan ; Hang, Minxiao ; Liu, Xiaona
Author_Institution :
North China Electr. Power Univ., Beijing, China
Abstract :
DG based on Photovoltaic System Generation (PVS) has the probabilistic output power relied on natural conditions, the traditional deterministic load flow is not a suitable tool for the analyzing and maintaining distribution system. Aiming at this problem, this paper applies a probabilistic power flow (PLF) method to evaluate the influence of distributed generation with PVS. Firstly, the probabilistic model of PVS is established, Secondly, instead of the conventional Gram-Charlier expansion, the model of combined cumulant and Cornish-Fisher expansion is applied to calculate the PLF. This model has the more convergence for on-Gaussian probabilistic density function. Lastly, the IEEE 34 distribution system with the modification by injecting the PVS to some nodes is tested. The results show that the method in this paper is efficient and reasonable.
Keywords :
Gaussian processes; convergence; distributed power generation; load flow; photovoltaic power systems; probability; Cornish-Fisher expansion; PLF; PVS; convergence; distributed generation; distribution system; load flow; on-Gaussian probabilistic density function; photovoltaic system generation; probabilistic power flow; Accuracy; Cornish-Fisher; Gram-Charlier; Photovoltaic System Generation; distributed generation; probabilistic power flow;
Conference_Titel :
Power System Technology (POWERCON), 2010 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-5938-4
DOI :
10.1109/POWERCON.2010.5666569
