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An exact optimization strategy for the restoration problem in radial distribution systems with switches allocated in a reduced number of circuits

机译:径向分配系统中恢复问题的精确优化策略,其中分配的开关数量减少了

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In this paper, an adapted mathematical model is presented to the optimization of the restoration problem in radial electric power distribution systems with the existence of a reduced number of switches, which is the typical characteristic of real distribution systems. The restoration problem consists in restoring the maximum possible of loads after the de-energization of parts of the system due to the occurrence of a permanent fault or due to the execution of expansion projects or preventive maintenance. The preparation and the implementation of the restoration plan should be performed in the shortest time possible. In the proposed mathematical model, the objective is to maximize the restoration of de-energized loads and to minimize the number of switching operations necessary for the reestablishment of these loads. The mathematical model formulated is of mixed-integer second order conic programming and can be efficiently solved by commercial solvers based on exact optimization techniques, such as the branch and bound method. Tests were performed simulating permanent faults in a 53-bus distribution system adapted to the proposed problem. The results obtained show the robustness and the efficiency of the mathematical model adapted to solve this problem.
机译:在本文中,提出了一种适用的数学模型来优化具有减少的开关数量的径向配电系统中的恢复问题,这是实际配电系统的典型特征。恢复问题在于,由于永久性故障的发生或由于执行扩建项目或进行预防性维护而导致系统部件断电后恢复最大负载。恢复计划的准备和实施应在最短的时间内完成。在提出的数学模型中,目标是最大程度地减少失电负载的恢复,并最大限度地减少重新建立这些负载所需的开关操作次数。公式化的数学模型是混合整数二阶圆锥规划的,并且可以由商业求解器基于精确的优化技术(例如分支定界法)来有效地求解。进行了模拟53总线配电系统中永久性故障的测试,以适应提出的问题。获得的结果表明了适合解决该问题的数学模型的鲁棒性和效率。

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