Abstract Conventional differential protection scheme considers a fixed threshold to detect the fault in a transmission system. In a wind integrated transmission system, any fixed threshold-based protection function is not reliable always due to the dynamic variation of control parameters of the wind turbine. To mitigate this issue, an adaptive differential protection scheme is proposed in this work for the transmission system integrated with wind farm. The method uses a particle swarm optimization (PSO) algorithm to generate an optimum threshold for the system considering the varying system and fault operating conditions. An objective function is designed for PSO considering the fault location, inception angle, and fault resistance. The method is tested by using a standard wind integrated transmission system model, simulated using MATLAB software. Performance of the method is tested for numerous test cases considering the wide variations in fault and system operating conditions.

中文翻译：

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基于群智能的风电一体化差动保护方案

摘要 传统的差动保护方案考虑一个固定的阈值来检测输电系统中的故障。在风电一体化输电系统中，由于风电机组控制参数的动态变化，任何基于固定阈值的保护功能并不总是可靠的。为了缓解这个问题，本文针对与风电场集成的输电系统提出了一种自适应差动保护方案。该方法使用粒子群优化 (PSO) 算法来生成系统的最佳阈值，同时考虑到变化的系统和故障运行条件。考虑到故障位置、起始角和故障电阻，为 PSO 设计了一个目标函数。该方法采用标准的风电一体化输电系统模型进行测试，并使用MATLAB软件进行仿真。