论文标题
用于主动分布网络恢复的多步重新配置模型集成了DG启动序列
A Multi-Step Reconfiguration Model for Active Distribution Network Restoration Integrating DG Start-Up Sequences
论文作者
论文摘要
分布式发电机(DG)在分销网络中的渗透不断增加,这表明可以更好地实现其潜力。恢复问题的目的是通过使用最小切换操作考虑其优先级的负载的最大能量。基本上,希望提供独特的配置,该配置在整个恢复期间的负载和发电概况方面都是有效的。但是,这种独特的配置可能同时不满足:i)恢复计划开始时的DG启动要求以及ii)拓扑条件允许DG以后提供对负载供应的最有效的支持。因此,本文提出的是,根据DG启动要求允许有限数量的重新配置步骤。此外,本文为重新配置问题提供了一种新颖的表述,其中解释了整个未灌注区域无法恢复的部分恢复方案。提出的多步恢复问题的决策变量是:i)在重新配置过程的每个步骤中,线路切换动作,ii)在整个恢复期间的负载切换动作; iii)在整个恢复期间的主动/反应能力调度DGS。放松的交流电源流程公式被整合到优化问题,以确保解决方案有关操作安全限制的可行性。总体模型是根据混合二阶锥体编程来制定的。研究了两个模拟方案,以说明拟议策略的不同特征,并证明其有效性,尤其是在分销网络中大规模中断的情况下。
The ever-increasing penetration of Distributed Generators (DGs) in distribution networks suggests to enable their potentials in better fulfilling the restoration objective. The objective of the restoration problem is to resupply the maximum energy of loads considering their priorities using minimum switching operations. Basically, it is desired to provide a unique configuration that is valid regarding the load and generation profiles along the entire restorative period. However, this unique configuration may not satisfy at the same time: I) the DG start-up requirements at the beginning of the restoration plan and II) the topological conditions that would allow the DG to provide later on the most efficient support for the supply of loads. Therefore, it is proposed in this paper to allow a limited number of reconfiguration steps according to the DG start-up requirements. In addition, this paper presents a novel formulation for the reconfiguration problem that accounts for partial restoration scenarios where the whole unsupplied area cannot be restored. The decision variables of the proposed multi-step restoration problem are: I) the line switching actions at each step of the reconfiguration process, II) the load switching actions during the whole restorative period and, III) the active/reactive power dispatch of DGs during the whole restorative period. A relaxed AC power flow formulation is integrated to the optimization problem in order to ensure the feasibility of the solution concerning the operational safety constraints. The overall model is formulated in terms of a mixed-integer second-order cone programming. Two simulation scenarios are studied in order to illustrate different features of the proposed strategy and to demonstrate its effectiveness particularly in the case of large-scale outages in distribution networks.