Generation Expansion Planning (GEP) with load uncertainty is modeled in this paper using chance constrained programming, and new iterative solution algorithms identifying the stressed and non-stressed buses in the system are developed for solving this model. The algorithms use a risk-based approach to dynamically allocate risk at each bus depending on the response of the system to the load behaviour. Computational results for the IEEE 30- and 118- bus systems are presented and compared with previous approaches. It is observed that expansion solutions meeting the required reliability at lower cost are obtained using this approach.
Paru en décembre 2013 , 16 pages