This paper proposes a day-ahead self-healing scheduling approach in isolated networked microgrid (NMG) systems. The proposed approach is based on a two-level flexible energy management system (EMS). The upper-level EMS is responsible for optimal scheduling of the normal-operated MGs, while the lower-level help the MGs for operating on-fault in self-healing and islanded modes. When a fault occurs in an MG, it divides the on-fault MG into two zones. The grid-connected zone receives power support from the other normal-operated MGs. Furthermore, a secure optimization problem is presented to operate the separated zone in an islanded operation. The proposed approach is implemented on a test system with five NMGs. To cope with the operational uncertainties, a stochastic programming approach is applied. The simulation is run over a 24-hour scheduling time horizon. The results of the simulations in the normal, self-healing, and islanded operation modes for normal-operated and on-faulted MGs in cases without and with DRP are presented. The results reveal the effectiveness of the proposed stochastic EMS model in enhancing the performance of the network and decreasing the operational costs of the MGs.

本文提出了隔离网络微电网（NMG）系统中的一种日前自修复调度方法。所提出的方法基于两级灵活能源管理系统（EMS）。较高级别的EMS负责正常运行的MG的最佳调度，而较低级别的则帮助MG在自愈和孤岛模式下按故障运行。当MG中发生故障时，它将故障MG分成两个区域。并网区域从其他正常运行的MG那里获得电源支持。此外，提出了安全优化问题以孤岛操作来操作分离的区域。所提出的方法是在具有五个NMG的测试系统上实现的。为了应对操作上的不确定性，采用了一种随机编程方法。该模拟在24小时的计划时间范围内运行。给出了在不带DRP和带DRP的情况下，正常操作和有故障的MG在正常，自愈和孤岛操作模式下的仿真结果。结果揭示了所提出的随机EMS模型在增强网络性能和降低MG运营成本方面的有效性。