考虑交通系统约束的事件后弹性驱动的移动电源调度策略

2021 8th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2021-04-09 DOI:10.1109/ICEEE52452.2021.9415932

Ayşe Kübra Erenoğlu, O. Erdinç, Semanur Sancar, J. Catalão

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引用次数: 3

摘要

本文提出了配电系统在高影响低概率事件下的事后恢复框架。考虑将移动应急发电机和移动储能系统作为电网支持服务，通过提供优先级加权的负荷需求来提高系统性能。确定调度维修队伍的恢复策略，并与移动电源协同作业，尽快回收丢失的负载。此外，运输系统的限制也被整合到恢复工具中，以便在将移动电源从集散点引导到受损区域时获得更真实的结果。基于混合整数线性规划(MILP)的方案在一个修改版本的10总线测试系统上执行，并通过不同的案例研究来说明该模型在Python 2.7版本的PuLP 1.6.8开源库中实现的能力，并通过CPLEX求解器求解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Post-Event Resiliency-Driven Strategy Dispatching Mobile Power Sources Considering Transportation System Constraints

In this paper, a post-event restoration framework for distribution system in response to high impact low probable events is presented. The mobile emergency generators and mobile energy storage systems are considered for grid-support services in order to boost the system performance by supplying load demands, weighted by their priority. The restoration strategy of repair crew is dispatched in a deterministic way and the coordinated operation is performed with mobile power sources for picking up lost loads as soon as possible. Also, the transportation system constraints are integrated into the restoration tools for obtaining more realistic results while directing mobile power sources from staging locations to the damaged areas. A mixed integer linear programing (MILP)-based scheme is performed on a modified version of the 10-bus test system with different case studies for illustrating the capabilities of the model implemented in the PuLP 1.6.8 open source library of Python 2.7 version, solved by CPLEX solver.

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2021 8th International Conference on Electrical and Electronics Engineering (ICEEE)

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