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Online decomposed optimal outage management after natural disasters

机译:自然灾害后在线分解最佳停机管理

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This paper proposes an online decomposed optimization method for the outage management of power distribution systems. The paper develops an algorithm that optimally dispatches repair crews to damaged components as well as operates distributed generators (DGs) and automatic switches. The first part of this paper discusses co-optimization of repair crew routing and DG/switch operations. A mixed integer linear program (MILP) model is formulated to co-optimize the two problems. Although direct co-optimization would lead to the best routing and operation strategy, it is difficult to achieve an optimal solution within a reasonable time due to the computational complexity. Furthermore, the network damage states are dynamic as the damaged components are repaired. Therefore, we propose a decomposed online method to solve the co-optimization problem. The proposed method is tested on a modified IEEE 123-bus distribution test system with multiple damages.
机译:本文提出了一种用于配电系统的中断管理的在线分解优化方法。该论文开发了一种算法,可最佳地将修复机组人员调度到损坏的部件,以及操作分布式发电机(DGS)和自动开关。本文的第一部分讨论了修复船员路由和DG /交换机操作的共同优化。混合整数线性程序(MILP)模型被配制成共同优化两个问题。虽然直接共同优化会导致最佳的路由和操作策略,但由于计算复杂性,难以在合理的时间内实现最佳解决方案。此外,随着损坏的组件修复,网络损坏状态是动态的。因此,我们提出了一种解决的在线方法来解决共同优化问题。在具有多个损坏的修改IEEE 123总线分配测试系统上测试了所提出的方法。

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