A Chance-Constrained Programming Based Renewable Resources Included Generation Expansion Planning Method and Its Application

Traditional generation expansion planning is based on the principle of certainty and not suitable for renewable energy resources (RES) included planning. The paper proposed a chance-constrained programming model to deal with the uncertainty caused by RES, and a simulation-base PSO algorithm is adopted to solve the model. The model and algorithm is used in an actual case which lie in the west of china, and the results show the effectiveness of the model and algorithm.