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Study of Overcurrent Relays Coordination Optimization based on Genetic Algorithms

机译:基于遗传算法的过电流继电器协调优化研究

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One of the important protection relays in the electric power system is the overcurrent relay. In determining the value of relay settings In the relay setting process, formula calculation result can not be used directly, causing the process considered not optimal. Also, there are no tools for scanning protection in distribution subsystem. The research was made to optimize the calculation of overcurrent settings (ISET) and delay time (TMS). This research was made using MATLAB software by combining genetic algorithms and standards from IEC to calculate overcurrent relay setting values. To get optimal Iset and TMS values, data is needed including bay name, substation name, CT ratio, lowest current capacity at the corresponding time, local bus short circuit current, and characteristic curves. Coordination built on calculation uses link current level of each related local GI bus. After data is fulfilled, the user only needs to run the Genetic Algorithm script so that Iset and TMS values in related bays will be optimized with genetic algorithms. With this research, the protection engineer will easily obtain the value of his protection settings and also scanning protection in related subsystems to improve system reliability and availability of electrical energy distribution.
机译:电力系统中重要的保护继电器之一是过电流继电器。在确定继电器设置的值时在继电器设置过程中,公式计算结果无法直接使用,从而导致该过程不理想。另外,在分发子系统中没有用于扫描保护的工具。进行了研究以优化过电流设置(ISET)和延迟时间(TMS)的计算。这项研究是使用MATLAB软件结合遗传算法和IEC标准计算过电流继电器设置值而进行的。为了获得最佳的Iset和TMS值,需要数据,包括机架名称,变电站名称,CT比,相应时间的最低电流容量,本地总线短路电流和特性曲线。基于计算的协调会使用每个相关本地GI总线的链路当前电平。满足数据后,用户只需运行遗传算法脚本,即可使用遗传算法优化相关托架中的Iset和TMS值。通过此项研究,保护工程师将轻松获得其保护设置的价值,并在相关子系统中扫描保护,以提高系统可靠性和电能分配的可用性。

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