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Presentation
Application of scenario reduction to LDC and risk based generation expansion planning
Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters
  • Yonghan Feng, Iowa State University
  • Sarah M. Ryan, Iowa State University
Document Type
Conference Proceeding
Publication Version
Accepted Manuscript
Link to Published Version
http://dx.doi.org/10.1109/PESGM.2012.6345655
Publication Date
7-1-2012
DOI
10.1109/PESGM.2012.6345655
Conference Title
2012 IEEE Power and Energy Society General Meeting
Conference Date
July 22-26, 2012
Geolocation
(32.715738, -117.16108380000003)
Abstract
Abstract: Two-stage stochastic mixed-integer programming models are formulated for minimizing expected cost or Conditional Value-at-Risk (CVaR) of a long-term power generation expansion planning problem incorporating load duration curves. The multivariate stochastic processes, such as electricity demands and fuel prices, are modeled as geometric Brownian motion (GBM) processes. Scenario paths for their future evolution are generated by statistical extrapolation of long-term historical trends. The size of the scenario set is controlled by using increasing length time periods in a tree structure. Nevertheless, some method of scenario thinning is necessary to achieve manageable solution times. To mitigate the computational complexity of the forward selection heuristic for scenario reduction, a combined heuristic scenario reduction method named Forward Selection in Wait-and-see Clusters (FSWC) is applied to the large scenario set. Numerical results for a twenty year generation expansion planning case study indicate substantial computational savings to achieve similar solutions as those obtained by forward selection alone.
Comments

This is an accepted manuscript of a proceeding published as Feng, Yonghan, and Sarah M. Ryan. "Application of scenario reduction to LDC and risk based generation expansion planning." In Power and Energy Society General Meeting, 2012 IEEE, pp. 1-8. IEEE, 2012.

Rights
© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Copyright Owner
IEEE
Language
en
File Format
application/pdf
Citation Information
Yonghan Feng and Sarah M. Ryan. "Application of scenario reduction to LDC and risk based generation expansion planning" San Diego, CA(2012)
Available at: http://works.bepress.com/sarah_m_ryan/90/