TY - JOUR

T1 - Stochastic programming model for power generation

AU - Shiina, Takayuki

PY - 2011/6/1

Y1 - 2011/6/1

N2 - 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.

AB - 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.

KW - Electric power capacity expansion problem

KW - Integer programming

KW - L-shaped method

KW - Stochastic programming

UR - http://www.scopus.com/inward/record.url?scp=84855252101&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84855252101&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:84855252101

VL - 78

SP - 934

EP - 939

JO - World Academy of Science, Engineering and Technology

JF - World Academy of Science, Engineering and Technology

SN - 2010-376X

ER -