DocumentCode
538971
Title
Potential challenges: Integrating renewable energy with the smart grid
Author
Shafiullah, GM ; Oo, Amanullah M T ; Jarvis, Dennis ; Ali, ABM Shawkat ; Wolfs, Peter
fYear
2010
fDate
5-8 Dec. 2010
Firstpage
1
Lastpage
6
Abstract
Renewable energy offers alternative sources of energy which is in general pollution free, climate friendly, sustainable and unlimited. Therefore in the starting of 21st century, Government, utilities and research communities are working together to develop an intelligent power system that has potential to better integrate renewable energy sources with the grid. However, there are a number of potential challenges in integrating renewable energy with the existing grid due to its intermittent nature. This paper investigates about the potential challenges of integrating renewable energy with the smart power grid including the possible deployment issues for a sustainable future both nationally and internationally. The paper also proposes a prediction model that informs the typical variation of energy production as well as effect on grid integration using modern machine learning techniques.
Keywords
learning (artificial intelligence); smart power grids; solar power; wind power; energy production; grid integration; intelligent power system; machine learning; prediction model; smart power grid; smart power renewable energy; solar power; wind power; Algorithm design and analysis; Mathematical model; Prediction algorithms; Renewable energy resources; Smart grids; Voltage fluctuations; Wind speed; Renewable energy; grid integartion; machine learning; smart grid;
fLanguage
English
Publisher
ieee
Conference_Titel
Universities Power Engineering Conference (AUPEC), 2010 20th Australasian
Conference_Location
Christchurch
Print_ISBN
978-1-4244-8379-2
Electronic_ISBN
978-1-4244-8380-8
Type
conf
Filename
5710722
Link To Document