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中文摘要：
提出一种超导故障限流器（SFCL）优化配置的新方法。通过进行短路计算，首先确定安装SFCL能够可靠启动的支路，然后分析SFCL对网络阻抗矩阵的影响，得出短路电流超标点自阻抗对这些支路阻抗参数的灵敏度，根据灵敏度的大小，从中选取安装SFCL的多条候选支路，采用改进的非支配排序遗传算法（NSGA-Ⅱ）这一多目标优化算法对候选支路进行优化计算，实现SFCL的安装位置、数量以及阻抗值的优化配置。最后，通过6节点系统和IEEE39节点系统的仿真验证了所述方法的有效性和可靠性，大大缩小了解的搜索空间，实现了SFCL的优化配置，限制了超标点短路电流水平。
英文摘要：
A new method for optimally allocating superconducting fault current limiters （SFCLs） is presented. By calculating short circuit, the branches with SFCLs capable of starting up reliably can be determined. Subsequently, by analyzing the influences of SFCLs on impedance matrix, sensitivities of the self-impedance of over-standard substations with respect to impedances of these branches are obtained. Based on the sensitivity values, a few candidate branches can be chosen from these branches. Finally, by using multi-objective optimization algorithm called non-dominated sorting genetic algorithm-Ⅱ （NSGA- Ⅱ ）, these candidate branches can be optimized, and thus searching for the optimal location and the smallest SFCLs capacity can be achieved. Simulation results of a 6-bus system and the IEEE 39-bus system are employed to verify the effectiveness and reliability of the proposed method, respectively. With the proposed method the searching space of solutions can be greatly reduced. The optimal allocation of SFCLs is realized and the short circuit current of over-standard substations is restrained successfully.
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