The challenge of operating ultra-large-scale power system or super grid is addressed in this paper. We set up the concept of power synergy hub (PSHub) serving as the operation hub coordinating the energy dispatch of multiple nations or regions across the continent to achieve global optimal targets. An efficient mechanism based on the modified Benders decomposition (BD) is proposed to coordinate the operations of national or regional power networks. The key contribution is that we take the total power outputs of regional power networks as the complicating variables to formulate the master problem and subproblems in the modified BD. Instead of using DC optimal power flow model (DC OPF), we propose to use convex AC optimal power flow model based on second-order cone programming (SOC-ACOPF) to operate the super grid. A comprehensive investigation proves that the SOC-ACOPF outperforms DC OPF in terms of accuracy. Numerical evaluations also show that our SOC-ACOPF model has stronger convergence capability and computational efficiency over other considered SOC-ACOPF models. The convergence of the modified BD is guaranteed by the convexity of SOC-ACOPF. A parallel computation framework in GAMS is proposed to assist real-time operation of the super grid. Compared with operating super grid in a centralized way, the modified BD approach shows stronger convergence capability, computational efficiency and robustness.

本文解决了运行超大型电力系统或超级电网的挑战。我们建立了电力协同枢纽（PSHub）的概念，将其作为协调整个大陆上多个国家或地区的能源分配以实现全球最佳目标的运营枢纽。提出了一种基于改进的Benders分解（BD）的有效机制来协调国家或地区电网的运行。关键的贡献在于，我们将区域电网的总功率输出作为复杂变量，以表达修改后的BD中的主要问题和子问题。代替使用直流最优潮流模型（DC OPF），我们建议使用基于二阶锥规划（SOC-ACOPF）的凸交流最优潮流模型来运行超级电网。全面的研究证明，SOC-ACOPF在准确性方面优于DC OPF。数值评估还表明，与其他考虑的SOC-ACOPF模型相比，我们的SOC-ACOPF模型具有更强的收敛能力和计算效率。SOC-ACOPF的凸度保证了修改后的BD的收敛性。提出了GAMS中的并行计算框架，以辅助超级网格的实时运行。与集中式操作超级网格相比，改进的BD方法具有更强的收敛能力，计算效率和鲁棒性。SOC-ACOPF的凸度保证了修改后的BD的收敛性。提出了GAMS中的并行计算框架，以辅助超级网格的实时运行。与集中式操作超级网格相比，改进的BD方法具有更强的收敛能力，计算效率和鲁棒性。SOC-ACOPF的凸度保证了修改后的BD的收敛性。提出了GAMS中的并行计算框架，以辅助超级网格的实时运行。与集中式操作超级网格相比，改进的BD方法具有更强的收敛能力，计算效率和鲁棒性。