In decentralized and smart power systems with a high share of distributed renewable energy sources the reliability of power supply is particularly challenged. Therefore, known concepts on maintaining the security of supply have to be rethought and enhanced by the notion of resilience. Power shortages caused by dark doldrums or induced by component failures or by cyber-attacks on the one hand and new extreme power demands due to an increased usage of power consuming technologies on the other hand can lead to critical network states or even blackouts. The impact of failures of critical infrastructures on the urban security of supply in general is measureable by so-called supply indices. These supply indices in combination with efficiency and fairness metrics allow the definition of a composite resilience metric, which we utilize in our novel smart scheduling method. Assuming the existence of advanced metering infrastructures and smart meters, the presented method enables stable and urban resilient grid operation in the face of power scarcity or extreme power demands. Thereby, the new method goes far beyond demand side management, peak shaving techniques or rolling blackouts. Consequently, the proposed composite resilience metric enables the development of new power distribution policies and controls, which consider urban resilience with respect to critical services, power efficiency, and fairness. Based on an Evolutionary Algorithm and Optimal Power Flow, the new smart and urban resilient scheduling method is applied to an extension of the IEEE 33 case: simulation results are presented and it is shown that the new method outperforms known benchmark methods such as rolling blackouts.

在具有大量分布式可再生能源的分散式和智能电源系统中，电源的可靠性尤其受到挑战。因此，必须通过弹性概念重新思考和增强有关维护供应安全性的已知概念。一方面，由暗淡的低迷，由组件故障或网络攻击引起的电力短缺，另一方面是由于越来越多地使用电力消耗技术而导致的新的极端电力需求，可能导致关键的网络状态甚至停电。一般而言，关键基础设施故障对城市供应安全的影响可以通过所谓的供应指数来衡量。这些供应指数结合效率和公平性指标，可以定义复合弹性指标，我们在新颖的智能调度方法中利用了这一点。假设存在先进的计量基础设施和智能电表，那么该方法可以在电力短缺或极端电力需求的情况下实现稳定和城市弹性的电网运行。因此，新方法远远超出了需求方管理，调峰技术或连续停电的范围。因此，拟议的综合弹性指标可支持制定新的配电政策和控制措施，并考虑城市在关键服务，能效和公平性方面的弹性。基于进化算法和最优潮流，将新的智能和城市弹性调度方法应用于IEEE 33案例的扩展：