Reliability assessment of a remote hybrid renewable energy system using Monte Carlo simulation Online publication date: Tue, 15-May-2018
by Sarangthem Sanajaoba Singh; Eugene Fernandez
International Journal of Renewable Energy Technology (IJRET), Vol. 9, No. 3, 2018
Abstract: Hybrid renewable energy systems have become a promising alternative for supplying power to remote locations because of the various negative environmental impacts caused by the conventional generating units. The reliability of power supply from such hybrid energy system is of prime concern owing to the stochastic power output from renewable energy sources. Unlike conventional generating units, the reliability aspects of a hybrid energy system are to be treated differently. System reliability depends on various factors such as the wind speed, solar radiation, load demand, wind turbine generator force outage rate (FOR) and hardware status of photovoltaic panels. In this context, a realistic simulation models for the reliability assessment of a remote hybrid energy system with battery storage is presented. The reliability analysis is conducted through Monte Carlo simulation to evaluate the loss of load expected (LOLE) reliability index. Finally, the proposed models are tested in a remote case study area.
Online publication date: Tue, 15-May-2018
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Renewable Energy Technology (IJRET):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org