Chance-constrained generation expansion planning based on iterative risk allocation

Author

Monishaa, M. ; Hajian, Masood ; Anjos, M.F. ; Rosehart, W.D.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB, Canada

fYear

2013

fDate

25-30 Aug. 2013

Firstpage

1

Lastpage

6

Abstract

This paper deals with the development of an efficient iterative method to solve the chance-constrained generation expansion planning (GEP) problem. Reliability in an economic manner is the main criterion when addressing GEP. The algorithm proposed here minimizes the cost of achieving the required reliability. Computational results based on the IEEE 30- and 118-bus test systems are presented. The proposed method decreases the cost in comparison to existing methods for the same reliability level.

Keywords

iterative methods; power generation economics; power generation planning; power generation reliability; GEP; IEEE 118-bus test systems; IEEE 30-bus test systems; chance-constrained generation expansion planning; economic manner; iterative method; iterative risk allocation; reliability; Equations; Linear programming; Load modeling; Mathematical model; Power systems; Reliability; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid (IREP), 2013 IREP Symposium

Conference_Location

Rethymno

Electronic_ISBN

978-1-4799-0199-9

Type

conf

DOI

10.1109/IREP.2013.6629402

Filename

6629402