Abstract In this article, an allocation method for superconducting fault current limiter (SFCL) to reduce the exceeded short circuit current within the breaking capacity of the circuit breakers (CBs) is proposed. A cost-based allocation method is advised because of the high cost of SFCL depending on its type. In this article, the multiple parameters such as number, impedance size and type of the SFCLs in meshed networks are determined by defining a cost function for SFCL and using a new hybrid genetic algorithm and sensitivity analysis (HGASA) optimization. The proposed method is based on gradual (step by step) adding the multiple SFCLs in various points of the network during the iterative-based process to optimal SFCL allocation with the least economic costs in fault level-constrained meshed networks. A sensitivity index based on the average decrease of fault current is proposed to reduce the search space and to improve the efficiency of the algorithm. Also, since the different types of SFCLs have different behavior in fault current mitigation, they are analyzed and considered in this article. IEEE 30-bus test system is chosen to evaluate the accuracy and efficiency of the proposed method.

中文翻译：

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故障级别约束网状网络中优化SFCL分配的迭代和基于成本的方法

摘要 本文提出了一种超导故障限流器（SFCL）的配置方法，以在断路器（CB）的分断能力范围内减少超出的短路电流。建议采用基于成本的分配方法，因为 SFCL 的成本取决于其类型。在本文中，通过定义 SFCL 的成本函数并使用新的混合遗传算法和灵敏度分析 (HGASA) 优化来确定网格网络中 SFCL 的数量、阻抗大小和类型等多个参数。所提出的方法基于在基于迭代的过程中逐步（逐步）在网络的各个点添加多个 SFCL，以在故障级别受限的网状网络中以最低的经济成本优化 SFCL 分配。提出了一种基于故障电流平均下降的灵敏度指标，以减小搜索空间，提高算法效率。此外，由于不同类型的 SFCL 在故障电流缓解方面具有不同的行为，因此本文对其进行了分析和考虑。选择 IEEE 30 总线测试系统来评估所提出方法的准确性和效率。