Advanced search
Publication Cover
Energy Sources, Part B: Economics, Planning, and Policy Volume 6, 2011 - Issue 2
Submit an article Journal homepage
229
Views
13
CrossRef citations to date
0
Altmetric
Original Articles

An Interval-Parameter Chance-Constraint Mixed-Integer Programming for Energy Systems Planning Under Uncertainty

G. H. Huang Environment Canada, Center for Studies in Energy and Environment, University of Regina, Regina, Saskatchewan, Canada
,
Y. T. Niu Energy and Environmental Research Center, North China Electric Power University, Beijing, China
,
Q. G. Lin Environment Canada, Center for Studies in Energy and Environment, University of Regina, Regina, Saskatchewan, Canada
,
X. X. Zhang Energy and Environmental Research Center, North China Electric Power University, Beijing, China
&
Y. P. Yang School of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing, China
Pages 192-205 | Received 22 Sep 2009, Accepted 13 Nov 2009, Published online: 11 Apr 2011
 
Sample our Built Environment journals, sign in here to start your access, Latest two full volumes FREE to you for 14 days

Abstract

Energy management systems are fraught with uncertainties. Such uncertainties may be expressed by interval numbers or probability distributions. In addition, issues of capacity expansion related to timing, sizing, and siting under such uncertainties need to be addressed. In this article, an interval-parameter chance-constraint mixed-integer programming (ICCP) is developed to tackle highly uncertain problems in energy management systems through integrating interval-parameter linear programming and chance-constraint programming. The developed model is then applied to a regional energy system. The results indicate that ICCP can effectively deal with uncertain information in energy management systems.

Log in via your institution

Access through your institution

Log in to Taylor & Francis Online

Restore content access

Restore content access for purchases made as guest
Purchase options * Save for later

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.