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 :
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