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Allocation of protective devices in distribution circuits using nonlinear programming models and genetic algorithms

机译:使用非线性编程模型和遗传算法在配电线路中分配保护装置

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摘要

The optimized allocation of protective devices in strategic points of the circuit improves the quality of the energy supply and the system reliability index. This paper presents a nonlinear integer programming (NLIP) model with binary variables, to deal with the problem of protective device allocation in the main feeder and all branches of an overhead distribution circuit, to improve the reliability index and to provide customers with service of high quality and reliability. The constraints considered in the problem take into account technical and economical limitations, such as coordination problems of serial protective devices, available equipment, the importance of the feeder and the circuit topology. The use of genetic algorithms (GAs) is proposed to solve this problem, using a binary representation that does (1) or does not (0) show allocation of protective devices (reclosers, sectionalizers and fuses) in predefined points of the circuit. Results are presented for a real circuit (134 busses), with the possibility of protective device allocation in 29 points. Also the ability of the algorithm in finding good solutions while improving significantly the indicators of reliability is shown.
机译:保护装置在电路关键点上的优化分配提高了能量供应的质量和系统可靠性指标。本文提出了一种具有二进制变量的非线性整数规划(NLIP)模型,以解决主馈线和架空配电电路所有分支中的保护装置分配问题,以提高可靠性指标并为客户提供高质量的服务。质量和可靠性。问题中考虑的约束考虑了技术和经济上的限制,例如串行保护设备的协调问题,可用设备,馈线的重要性和电路拓扑。提出了使用遗传算法(GA)来解决此问题的方法,它使用二进制表示来表示(1)或不表示(0)在电路的预定义点中分配保护设备(重合器,分段器和熔断器)。给出了真实电路(134条总线)的结果,并可能在29点上分配保护设备。还显示了算法在找到良好解决方案的同时显着提高可靠性指标的能力。

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