Multi-area generation adequacy planning using stochastic programming Conference Paper

abstract

• This paper proposes a mixed-integer stochastic programming approach to the solution of generation expansion planning problem. Generation and transmission line expansion planning including system reliability considerations is considered a challenging problem. The optimal solution is expected to yield a favorable trade off between system reliability and cost. This helps guide the development of additional generation capacity that is optimal with respect to cost and reliability. The problem is stochastic due to random uncertainties in area generation, transmission lines, and area loads. The problem is formulated as a two-stage recourse model. Reliability index used in this problem is expected cost of load loss. The objective is to minimize the expansion cost in the first stage and the expected loss of load cost in the second stage. The problem is then solved by L-shaped algorithm. The method is illustrated by application to a three-area power system. 2006 IEEE.

name of conference

• 2006 IEEE PES Power Systems Conference and Exposition

authors

• Singh, Chanan

published proceedings

• 2006 IEEE/PES POWER SYSTEMS CONFERENCE AND EXPOSITION. VOLS 1-5

author list (cited authors)

• Jirutitijaroen, P., & Singh, C.

citation count

• 7

complete list of authors

• Jirutitijaroen, Panida||Singh, Chanan

publication date

• January 2006

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• Multi-area Power System
• Power System Optimization
• Reliability
• Stochastic Programming
• Two-stage Recourse Model

Digital Object Identifier (DOI)

• 10.1109/PSCE.2006.296497

International Standard Book Number (ISBN) 10

• 142440178X

International Standard Book Number (ISBN) 13

• 978-1-4244-0177-2

start page

• 1327

end page

• +

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fpsce.2006.296497