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...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。展开更多
The new method proposed recently by Friedberg, Lee, and Zhao is extended to obtain an analytic expansion for the ground-state wavefunction of a time-dependent strong-coupling Schroedinger equation. Two different types...The new method proposed recently by Friedberg, Lee, and Zhao is extended to obtain an analytic expansion for the ground-state wavefunction of a time-dependent strong-coupling Schroedinger equation. Two different types of the time-dependent harmonic oscillators are considered as examples for application of the time-dependent expansion. It is show that the time-dependent strong-coupling expansion is applicable to the time-dependent harmonic oscillators with a slowly varying time-dependent parameter.展开更多
文摘安全约束机组组合(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。
基金Supported by the National Natural Science Foundation of China under Grant No.10905019the Program for Changjiang Scholars and Innovative Research Team in University(PCSIRT,No.IRT0964)the Construct Program of the National Key Discipline
文摘The new method proposed recently by Friedberg, Lee, and Zhao is extended to obtain an analytic expansion for the ground-state wavefunction of a time-dependent strong-coupling Schroedinger equation. Two different types of the time-dependent harmonic oscillators are considered as examples for application of the time-dependent expansion. It is show that the time-dependent strong-coupling expansion is applicable to the time-dependent harmonic oscillators with a slowly varying time-dependent parameter.