In the present scenario, the protection system has become an important issue in the field of the power system. Intelligent protection system has been introduced in many sectors like a transmission line, distribution network, power transformer, and many more. Many researchers have published their work using low voltage DC breakers, VCB, SF6, and other areas. In the previous works, protection schemes have been developed to control the moving contacts using intelligent algorithms for tripping 100% load against phase to ground faults occurring within the system. The previous related works have introduced Trapezoidal Function and Triangular Function as inputs to the fuzzy inference system. It is also found that the Fuzzy Logic Controller has been designed by taking two inputs as current and voltage in some cases in case of overcurrent fault. The output membership function has been preferred by implementing Trapezoidal and Gaussian membership function. In this article, an overcurrent protection scheme has been discussed. The intelligent relaying technique has been introduced to trip a particular load against overcurrent fault introducing within the system. Initially, the proposed work is carried out by incorporating fuzzy logic by taking current error and current error rates as input using Gaussian membership function to the black box. Here, breaker output has been assigned using trapezoidal and triangular membership function to control the loads connected in the system. In this work, a comparative study is performed among triangular membership, trapezoidal membership, and Gaussian membership function as input function to validate the best membership function for developing any intelligent relaying algorithm against overcurrent fault. After analysis, it is considered that if a Gaussian is set to the input function and trapezoidal and triangular are set to the output function of any concerned fuzzy inference system for any overcurrent model, then the performance of tripping mechanism must show a perception level of around 99% as a quantitative measure. Experimental results validate the implementation of intelligent breaker against overcurrent faults generating within the three‐phase system.

中文翻译：

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设计模糊逻辑控制器辅助智能过流故障保护方案的最佳拟合隶属度函数

在当前情况下，保护系统已经成为电力系统领域中的重要问题。智能保护系统已被引入许多领域，如输电线路，配电网络，电力变压器等。许多研究人员使用低压直流断路器，VCB，SF6和其他领域发表了他们的工作。在以前的工作中，已经开发出保护方案，以使用智能算法控制动触点，以使100％的负载跳闸，以防止系统中发生相间接地故障。先前的相关工作介绍了梯形函数和三角函数作为模糊推理系统的输入。还发现，在某些情况下，如果发生过流故障，则通过将两个输入作为电流和电压来设计模糊逻辑控制器。通过实现梯形和高斯隶属度函数，首选输出隶属度函数。本文讨论了一种过电流保护方案。引入了智能继电器技术，以使特定负载跳闸，以防止系统中引入过流故障。最初，拟议的工作是通过使用高斯隶属函数将当前误差和当前误差率作为输入并入黑盒中，并入模糊逻辑来完成的。在此，已使用梯形和三角形隶属函数分配了断路器输出，以控制系统中连接的负载。在这项工作中，对三角形隶属关系，梯形隶属关系，和高斯隶属函数作为输入函数，以验证用于开发任何针对过电流故障的智能继电器算法的最佳隶属函数。经过分析，对于任何过流模型，如果将高斯函数设置为输入函数并将梯形和三角形函数设置为任何相关的模糊推理系统的输出函数，则跳闸机制的性能必须显示出大约为99％作为定量指标。实验结果验证了针对三相系统内产生的过电流故障实施智能断路器的能力。对于任何过流模型，如果对任何相关的模糊推理系统的输入函数设置高斯函数并将梯形和三角形函数设置为输出函数，则认为跳闸机制的性能必须显示出大约99％的感知水平，即定量措施。实验结果验证了针对三相系统内产生的过电流故障实施智能断路器的能力。对于任何过流模型，如果对任何相关的模糊推理系统的输入函数设置高斯函数并将梯形和三角形函数设置为输出函数，则认为跳闸机制的性能必须显示出大约99％的感知水平，即定量措施。实验结果验证了针对三相系统内产生的过电流故障实施智能断路器的能力。