Abstract Resect severe economic losses caused by distribution system equipment outage have highlighted the importance of improving the system resiliency and reliability. In active distribution networks (ADNs), the distributed energy resources (DERs) managed by dynamic isolated microgrids in contingency mode provide an alternative approach to enhance the system resiliency and continue supplying critical loads after equipment outage. How to incorporate this ADNs capability into a short-term DERs scheduling is a challenging issue. In response to this challenge, in this paper, a two stage risk based decision making framework for operation of ADNs is proposed to coordinate 24-h DERs’ scheduling and outage management scheme, in a way to be immune against contingency by creating optimal dynamic multi-micrigrid, micro-turbine and energy storage island operating and load shed plan. The first stage is the normal operation condition that operation cost should be minimized considering of the uncertainties of renewable resources, the electricity price and customers loads. The second stage is the operation in contingency condition. In the second stage, the main objective is to keep the shed load at minimum level. Numerical results and sensitivity analysis from modified 33-bus IEEE network are further discussed to demonstrate the efficiency of the solution approach.

中文翻译：

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基于最优动态多微电网的智能电网运行两阶段风险决策

摘要 消除因配电系统设备停运造成的严重经济损失，凸显了提高系统弹性和可靠性的重要性。在主动配电网 (ADN) 中，由动态隔离微电网以应急模式管理的分布式能源 (DER) 提供了一种替代方法，可增强系统弹性并在设备中断后继续为关键负载供电。如何将这种 ADN 功能纳入短期 DER 调度是一个具有挑战性的问题。针对这一挑战，本文提出了一个基于风险的两阶段 ADN 运行决策框架来协调 24 小时 DER 的调度和停电管理方案，通过创建最优动态多-微电网，微型涡轮机和储能岛运行和减载计划。第一阶段是正常运行条件，考虑到可再生资源、电价和用户负荷的不确定性，应尽量减少运行成本。第二阶段是应急条件下的操作。在第二阶段，主要目标是将卸荷保持在最低水平。进一步讨论了修改后的 33 总线 IEEE 网络的数值结果和敏感性分析，以证明解决方法的效率。主要目标是将卸荷保持在最低水平。进一步讨论了修改后的 33 总线 IEEE 网络的数值结果和敏感性分析，以证明解决方法的效率。主要目标是将卸荷保持在最低水平。进一步讨论了修改后的 33 总线 IEEE 网络的数值结果和敏感性分析，以证明解决方法的效率。