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Microgrid Scheduling With Uncertainty: The Quest for Resilience

机译：不确定性的微电网调度：对弹性的追求

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摘要

In recent years, natural disasters around the world have underscored the need for operative solutions that can improve the power grid resilience in response to low-probability high-impact incidents. The advent of microgrids (MGs) in modern power systems has introduced promising measures that can fulfil the power network resiliency requirements. This paper presents a two-stage stochastic programming approach to the optimal scheduling of a resilient MG. The impact of natural disasters on the optimal operation of MGs is modeled using a stochastic programming process. Other prevailing uncertainties associated with wind energy, electric vehicles, and real-time market prices are also taken into account. The proposed hourly scheme attempts to mitigate damaging impacts of electricity interruptions by effectively exploiting the MG capabilities. Incorporating AC network constraints in the proposed model offers a better solution to the security-constrained operation of MGs. The proposed model is linearized which offers robustness, simplicity, and computational efficiency in optimizing the MG operation. The effectiveness of proposed approach is illustrated using a large-scale MG test bed with a realistic set of data.
机译：近年来，世界各地的自然灾害突显了对可操作性解决方案的需求，这些解决方案可提高电网应对低概率高影响事件的适应能力。现代电力系统中微电网（MGs）的出现引入了可以满足电网弹性要求的有前途的措施。本文提出了一种两阶段随机规划方法，用于弹性MG的最优调度。使用随机规划过程来模拟自然灾害对MG最佳运行的影响。还考虑了与风能，电动汽车和实时市场价格相关的其他普遍不确定性。建议的每小时计划试图通过有效利用MG功能来减轻电力中断的破坏性影响。在建议的模型中纳入AC网络约束为MG的安全性受限制的操作提供了更好的解决方案。所提出的模型是线性的，在优化MG操作时提供了鲁棒性，简单性和计算效率。使用具有实际数据集的大型MG测试床可以说明所提出方法的有效性。

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