基于边界法的大型机组组合模型的简化方法

A Simplification Method of Large-scale Unit Commitment Model Based on Boundary Method

随着电网规模的持续扩大,市场环境下考虑网络安全约束的机组组合(security-constrained unit commitment,SCUC)模型中的变量和约束显著增加,模型的求解性能变差。当模型规模过大时,会出现现有的商用求解器无法求解的状况,造成大规模模型求解困难的问题。为实现大规模机组组合模型的快速求解,从减少模型约束数量的角度出发,提出了一种基于边界法的线性约束简化方法。通过边界法剔除模型中冗余的线性约束,可以有效降低模型规模,实现模型的快速求解。基于IEEE-39、WECC 179和IEEE-118算例,在市场环境下进行日前SCUC测试。通过对比简化前后的求解时间,表明该方法能够显著提高模型的求解速率。

As the scale of power grid expands,in the market environment,the variables and constraints in the security-constrained unit commitment(SCUC)model considering power grid security constraints increase significantly and the solvability of the model reduces.When the model scale is too large,even the existing commercial solvers cannot solve it.Aiming at the model rapid solving,from the perspective of reducing the number of model constraints,a linear constraint simplification method based on the boundary method is proposed.The proposed method can effectively reduce the model's size by eliminating the redundant linear constraints.The IEEE-39,WECC 179 and IEEE-118 test cases are utilized to carry out the day-ahead SCUC testing in a market environment.Comparing the solving speed before and after simplification,the proposed method can significantly improve the solving speed of the model.