Stochastic programming model for power generation

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

We consider power system expansion planning under uncertainty. In our approach, integer programming and stochastic programming provide a basic framework. We develop a multistage stochastic programming model in which some of the variables are restricted to integer values. By utilizing the special property of the problem, called block separable recourse, the problem is transformed into a two-stage stochastic program with recourse. The electric power capacity expansion problem is reformulated as the problem with first stage integer variables and continuous second stage variables. The L-shaped algorithm to solve the problem is proposed.

Original languageEnglish
Pages (from-to)934-939
Number of pages6
JournalWorld Academy of Science, Engineering and Technology
Volume78
Publication statusPublished - 2011 Jun
Externally publishedYes

Fingerprint

Stochastic programming
Power generation
Integer programming
Planning
Uncertainty

Keywords

  • Electric power capacity expansion problem
  • Integer programming
  • L-shaped method
  • Stochastic programming

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Stochastic programming model for power generation. / Shiina, Takayuki.

In: World Academy of Science, Engineering and Technology, Vol. 78, 06.2011, p. 934-939.

Research output: Contribution to journalArticle

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