Enhancing Distribution System Resilience With Mobile Energy Storage and Microgrids
Enhancing Distribution System Resilience With Mobile Energy Storage and Microgrids
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DOI：
10.1109/tsg.2018.2872521
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发表时间：
2019-09
影响因子：
9.6
通讯作者：
Jip Kim;Y. Dvorkin
中科院分区：
文献类型：
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作者：
Jip Kim;Y. Dvorkin
电化学储能(ES)单元(例如，电池)已被现场验证为一种有效的后备资源，可增强配电系统的弹性。然而，使用这些设备进行恢复并不足以证明其安装经济合理，因此，这些设备通常安装在正常运行期间产生最大经济价值的位置。基于移动ES技术的最新进展，即可以通过公共交通路线移动ES单元，本文建议利用这种空间灵活性来弥合正常运行时经济上的最佳位置与灾难期间需要额外后备容量的位置之间的差距。我们提出了一个两阶段优化模型，该模型在第一阶段对移动ES单元的投资进行优化，在第二阶段对已安装的移动ES单元进行重新布线，以形成动态微电网(MG)，从而避免因灾难而预期的减负。由于所提出的模型不能用现成的求解器有效地求解，即使对于相对较小的实例，我们也应用了递进对冲算法。在15节点径向配电试验系统上对所提出的模型和算法进行了测试。
Electrochemical energy storage (ES) units (e.g., batteries) have been field-validated as an efficient back-up resource that enhances resilience of distribution systems. However, using these units for resilience is insufficient to justify their installation economically and, therefore, these units are often installed in locations where they yield the greatest economic value during normal operations. Motivated by the recent progress in mobile ES technologies, i.e., ES units can be moved using public transportation routes, this paper proposes using this spatial flexibility to bridge the gap between the economically optimal locations during normal operations and the locations where extra back-up capacity is necessary during disasters. We propose a two-stage optimization model that optimizes investments in mobile ES units in the first stage and can re-route the installed mobile ES units in the second stage to form dynamic microgrids (MGs) and to avoid the expected load shedding caused by disasters. Since the proposed model cannot be solved efficiently with off-the-shelf solvers, even for relatively small instances, we apply the progressive hedging algorithm. The proposed model and algorithm are tested on a 15-bus radial distribution test system.