Volume 8, Issue 2 (June 2012)                   IJEEE 2012, 8(2): 154-163 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Zarif M, Javidi M H, Ghazizadeh S. Electricity Procurement for Large Consumers with Second Order Stochastic Dominance Constraints. IJEEE 2012; 8 (2) :154-163
URL: http://ijeee.iust.ac.ir/article-1-442-en.html
Electricity Procurement for Large Consumers with Second Order Stochastic Dominance Constraints
M. Zarif , M. H. Javidi , S. Ghazizadeh
Abstract:   (6115 Views)
This paper presents a decision making approach for mid-term scheduling of large industrial consumers based on the recently introduced class of Stochastic Dominance (SD)- constrained stochastic programming. In this study, the electricity price in the pool as well as the rate of availability (unavailability) of the generating unit (forced outage rate) is considered as uncertain parameters. The self-scheduling problem is formulated as a stochastic programming problem with SSD constraints by generating appropriate scenarios for pool price and self-generation unit's forced outage rate. Furthermore, while most approaches optimize the cost subject to an assumed demand profile, our method enforces the electricity consumption to follow an optimum profile for mid-term time scheduling, i.e. three months (12 weeks), so that the total production will remain constant.
Keywords: Electricity Procurement for Large Consumers , Second Order Stochastic Dominance , Decision Making , Uncertainty
Full-Text [PDF 350 kb]   (2728 Downloads)    
Type of Study: Research Paper | Subject: Demand Side Management
Received: 2011/10/22 | Revised: 2013/05/25 | Accepted: 2013/05/25
Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Creative Commons License
© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.