Title :
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
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;
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
DOI :
10.1109/IREP.2013.6629402
