应用全场景可行安全约束机组组合的风电最优消纳模型及解法

For the security constrained unit commitment (SCUC) with wind power, the nonanticipative constraints are not satisfied by the widely adopted two-stage robust optimization based methods, and there exists a very serious deficiency. Meanwhile, the maximum accommodation and the optimal economic accommodation of the wind energy are not clearly distinguished from each other. In this study, models and solution methods for solving the maximum accommodation and the optimal economic accommodation of the wind energy in SCUC are proposed to address these issues. A variable uncertainty set of wind power is introduced to replace the widely adopted fixed uncertainty set so that the model and the method can accommodate possible wind curtailment decision to expand the scheduling solution space. A group of small scale strong nonanticipative constraints is introduced to guarantee the nonanticipativity of the scheduling solution and to avoid the huge number of nonanticipative constraints in the traditional modelling methods. An all-scenario-feasible scheduling model based on the vertices of the variable uncertainty set is established to avoid the complex min-max structure in the robust optimization based framework, so that only a single level mixed integer linear programming (MILP) problem needs to be solved in the proposed method, and the optimal scheduling solution is obtained. Numerical results on an IEEE 118-bus system show that the performance of the proposed algorithm is satisfactory. The differences between the maximum accommodation and the optimal economic accommodation of the wind energy are clearly revealed and the economic accommodation level of wind power is increased.