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An integrated power restoration method based on improved genetic algorithm for active distribution network

机译:一种基于改进遗传算法的激活分配网络的集成功率恢复方法

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With the increasing the permeability of distributed power supply in distribution network, the system reliability can be effectively improved by taking advantage of islanding operation capacity of DGs to restore non-fault area power supply when power failure occurs. This paper has made in-depth research on power restoration for active distribution network by taking distribution network power balance, the number of DG islands and communication switch influencing factors into consideration. By setting backup communication line equivalent to DG and referring it during decision-making process, the overall scheme superiority improves. The type and control characteristics of DGs are fully investigated in the process of using DG to restore load power. This paper also researched the recovery scheme of island power supply in master-slave control mode by separating DGs into master-slave power source. The concept of two chromosome coding constraints and genome / gene sub block are proposed by adopting improved genetic algorithm to get solution and combining active distribution network structure and master-slave control mode when separating islands. It helps to realize avoiding invalid solutions as the cross and mutation operations between chromosomes are completely based on genome. Finally, simulation has been made to verify the validity of the method proposed with 3 feeder lines and 7 DGs.
机译:随着分布式网络中分布式电源的渗透性的增加,通过利用DGS的孤岛操作能力,可以有效地提高了系统可靠性,以在发生电源故障时恢复非故障区域电源。本文通过分配网络电力平衡,考虑了DG岛和通信交换机的数量,深入研究了主动配送网络的功率恢复。通过设置等效的备份通信线路和在决策过程中引用它,整体方案优势可提高。在使用DG恢复负载功率的过程中,全面研究了DGS的类型和控制特性。本文还通过将DGS分离为主从电源,研究了主从控制模式中岛电源的恢复方案。通过采用改进的遗传算法来提出了两个染色体编码约束和基因组/基因子块的概念来解决分离岛时的主动分配网络结构和主从控制模式。它有助于实现避免无效的解决方案,因为染色体之间的交叉和突变操作完全基于基因组。最后,已经进行了仿真以验证用3个馈线和7 dgs提出的方法的有效性。

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