Cart (Loading....) | Create Account
Close category search window
 

Self-scheduling approach for large consumers in competitive electricity markets based on a probabilistic fuzzy system

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Zarif, M. ; Dept. of Electr. Eng., Ferdowsi Univ. of Mashhad, Mashhad, Iran ; Javidi, M.H. ; Ghazizadeh, M.S.

In competitive energy markets, large energy consumers are confronted with risks associated with energy prices. As the volatility in price of electricity is higher than that of other energy sources, this problem may become more pronounced for large electricity consumers. Hence, large industries should always seek sound paradigms for maximisation of their profit considering the risk caused by uncertainty within the planning horizon. In this study, a new fuzzy-based decision-making system for procurement of electricity from different sources is proposed which helps large industries to reach a compromise between the profit and risk. The simple but efficient technique of fuzzy α-cuts is applied for modelling the mentioned electricity pool price uncertainty in our problem. By using this modelling, a decision is made to maximise the profit of a consumer for different α-cuts corresponding to different levels of uncertainty. Therefore a range of decision-making with different strategies of profit-uncertainty is established and the consumer, depending on being a risk-taker or being risk-averse, can choose the appropriate strategy. To evaluate the proposed approach, a cement factory in north-eastern part of Iran (Khorasan Province) has been selected as the industrial consumer through a 12-week scheduling plan.

Published in:

Generation, Transmission & Distribution, IET  (Volume:6 ,  Issue: 1 )

Date of Publication:

January 2012

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.