Title :
Stochastic analysis of a local distribution company voltage profile under uncertain energy supply from a photovoltaic system
Author :
Saad, Yousef El-Mabruk ; Ponnambalam, K. ; El-Shatshat, R.A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
Abstract :
Recently in Ontario, Canada new installations of renewable distributed generation are being encouraged. Incentives are provided to producers directly by the government when energy is fed to the grid. This however has brought the attention of operators of local distribution companies to the issue of assuring the quality of supply to downstream customers when the grid receives this new and highly varying energy. As a result of these variations, the voltage may deviate from the standard levels. This paper investigates the impacts of installing a PV system, with considerable capacity compared to the network demand, on the voltage profile of an existing distribution network. Monte Carlo technique is applied focusing on the voltage profile by solving the steady state load flow model every 15-min time interval. A distribution system supplying a significant part of the region is considered as a case study.
Keywords :
Monte Carlo methods; distributed power generation; distribution networks; load flow; photovoltaic power systems; power supply quality; Monte Carlo technique; Ontario Canada; distribution network; local distribution company; photovoltaic system; power quality; renewable distributed generation; steady state load flow model; uncertain energy supply; voltage profile; Biological system modeling; Green products; Niobium; DG Integration; Monte-Carlo simulation; PV-farm; Power Quality; Probabilistic load flow; Solar energy; distribution networks; long duration of voltage variation;
Conference_Titel :
Energy Market (EEM), 2010 7th International Conference on the European
Conference_Location :
Madrid
Print_ISBN :
978-1-4244-6838-6
DOI :
10.1109/EEM.2010.5558742