The research on model and algorithm of multi-energy coordinative optimization in power system with intermittent sources

The inherent variability and uncertainty of intermittent generations bring great challenges both to the safe operation of power grid. In this paper, we present a novel stochastic security constraint unit commitment (SSCUC) model that can take into account multi-objective and various probability constraints, especially effective in treating transmission constraint. The model focus on the difficulties in controlling of probabilistic power flow, introduces the Gram-Charlier series and cumulant to analyze the stochastic characteristic in the spatial dimension, so as to describe the stochastic factors in unit commitment problem with quantitative analysis means. On this basis, the model will be converted to a deterministic mixed integer programming problem in certain confidence level. The model is illustrated by IEEE 39-bus test system. Numerical results show that the proposed method is efficient and effective for dealing with multi-energy coordinative optimization in power system with intermittent sources.