Grid-connected wind power capacity optimization based on the principle of maximum entropy

Abstract

As the uncertain renewable resources challenge the conventional power system operations and planning, in this paper, information theory is introduced to find the most possibly realized probability distribution - the `best' distribution scenario, of the uncertain factors. A chance-constrained model is then formulated based on the maximum entropy principle for the wind power capacity optimization problem. The constraints of power network limit and equipment operation bounds are considered. A numerical study of IEEE case 30 is used to demonstrate the effectiveness of the proposed method.