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A novel practical method for simultaneous placement of switching and protective devices considering load uncertainty

机译:考虑负载不确定性的同时放置开关和保护装置的新颖实用方法

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摘要

A smart distribution system should be able to restore interrupted customers as quickly as possible after outages. By optimal allocation of switching and protective devices, it is possible to enhance the reliability and increase the restoration capacity of the loads after an outage. In this paper, by taking into account uncertainty in the load data, a novel practical method for the simultaneous planning of optimum location of switching devices including tie-lines and remote-control switches (RCSs), fault indicators, and cut-out fuses is proposed. In this paper, a method for minimization of the costs associated with equipment investment and interruption cost has been proposed. Practical parameters such as geographical position and conditions of the understudy network and feeders, and the configuration and possible constraints of the real network from the experts' viewpoint, have been considered in this study. The actual characteristics of the network are extracted by utilizing the analytical hierarchical process (AHP), the geographic information system (GIS) data, and the event recording software. To optimize the problem, the multi-objective nondominated sorting genetic algorithm II (NSGAII) is employed. The efficacy of the proposed method is proved through simulation of a real medium-voltage (MV) feeder.
机译:智能配电系统应该能够在中断后尽快恢复被打扰的客户。通过对开关和保护装置进行最佳分配,可以提高可靠性并增加停电后负载的恢复能力。在本文中,考虑到负载数据的不确定性,一种新颖的实用方法可用于同时规划包括联络线和远程控制开关(RCS),故障指示器和熔断器在内的开关设备的最佳位置。建议。在本文中,提出了一种使与设备投资和中断成本相关的成本最小化的方法。从专家的角度来看,研究中考虑了实际参数,例如研究网络和馈线的地理位置和条件,以及实际网络的配置和可能的限制。通过使用层次分析法(AHP),地理信息系统(GIS)数据和事件记录软件来提取网络的实际特征。为了优化该问题,采用了多目标非支配排序遗传算法II(NSGAII)。通过对实际中压馈线的仿真,证明了该方法的有效性。

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