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Optimal Allocation of Energy Storage Systems for Resilient Distribution Networks Focusing on Critical Loads

机译:针对关键负载的弹性配电网储能系统的最优分配

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As modern-day power grids embrace more and more the new smart technologies, the distribution networks undergo a major conversion from passive to active systems, featuring various types of distributed energy resources including solar, wind generators, and storage. The energy storage systems (ESSs) capability to shift load and power generation in time comes as an efficient solution to the intermittent nature of renewable energy sources (RES) and demand variation. Beside their benefits in daily operation enhancement of the electric grid, ESSs can be an essential support for the distribution power system in the event of a major blackout. The purpose of this paper is to determine the optimal allocation of ESSs for increased reliability and resilience of the distribution network, based on renewable distributed sources generation and taking into account the presence of critical loads. In this regard, a mixed-integer second-order cone programming method is applied, aiming to maximize the assistance of renewable sources integration, while considering the network operational constraints and the prioritization of important users.
机译:随着现代电网越来越多地采用新的智能技术,配电网络经历了从无源系统到有源系统的重大转变,其特点是包括太阳能,风力发电机和储能在内的各种分布式能源。储能系统(ESS)能够及时改变负载和发电量,这是对可再生能源(RES)的间歇性和需求变化的有效解决方案。除了在提高电网日常运行效率方面的优势外,在出现严重停电的情况下,ESS还可为配电系统提供必要的支持。本文的目的是基于可再生分布式能源的产生并考虑到关键负荷的存在,确定ESS的最佳分配,以提高配电网络的可靠性和弹性。在这方面,应用混合整数二阶锥规划方法,旨在在考虑网络操作约束和重要用户优先级的同时,最大程度地提高可再生能源集成的辅助性。

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