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Combinatory search method for determining distribution network automation

机译:确定配电网自动化的组合搜索方法

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The paper proposes a new methodology for determining the optimal level of medium voltage (MV) distribution network (DN) automation as a part of a smart network design. The problem of the network automation is complex and discrete optimization problem of enormous dimension without possibility directly to apply appropriate optimization procedures. The proposed methodology is based on heuristic combinatory search algorithm with simultaneous consideration scenarios with different types of automation equipment: local automation and remote control. The basis of proposed method is real fault management procedure on the base of which the appropriate benefit estimation for different network automation scenarios is done. The essence of the methodology for determining optimal solution is decomposition of an optimal automation problem with different types of automation equipment to sub problems of network automation with one type of equipment. The proposed methodology has been tested on real distribution network and obtained results have proven that proposed methodology is a powerful tool for determination the optimal level of the MV DN automation.
机译:本文提出了一种确定中压(MV)配电网(DN)自动化最佳水平的新方法,作为智能网络设计的一部分。网络自动化的问题很复杂,而且离散的优化问题规模巨大,无法直接应用适当的优化程序。所提出的方法基于启发式组合搜索算法,同时考虑了不同类型的自动化设备:本地自动化和远程控制的情况。该方法的基础是实际的故障管理程序,在此基础上,针对不同的网络自动化场景进行了适当的收益估计。确定最优解决方案的方法的本质是将具有不同类型的自动化设备的最优自动化问题分解为具有一类设备的网络自动化的子问题。该提议的方法已经在实际的配电网络上进行了测试,获得的结果证明该提议的方法是确定MV DN自动化最佳水平的有力工具。

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