一种基于拉格朗日与时间解耦的超大规模SCUC求解框架

A Super Large SCUC Solution Framework Based on Lagrangian and Time Decoupling

安全约束机组组合(security constrained unit commitment,SCUC)是电网出清场景中最为广泛使用的一类模型。建立了一种针对超大规模SCUC现货市场出清问题的求解框架,首先提出了SCUC问题的时间解耦求解方法,通过缩小问题的规模来加快求解速度;其次针对时间解耦后模型的子问题提出了拉格朗日松弛求解技术,在不影响求解准确度的情况下,有效降低了关键困难约束的求解难度。数值实验证明,所提出的框架极大地提升了求解效率,且十分稳定。

Security constrained unit commitment(SCUC)is the most widely used model in power grid clearing scenarios.A solution framework for the super large SCUC spot market clearing problem is established.Firstly,the time decoupling solution method for SCUC problem is introduced,which is intended to reduce the size of the problem to accelerate the solving speed.Then a Lagrangian relaxation technique is proposed to solve the time decoupled subproblem,which effectively reduces the difficulty of solving key complex constraints without affecting the accuracy of the solution.Numerical experiments show that the proposed framework greatly improves the solution efficiency and is very stable.