Abstract In this paper, an adaptive differential protection scheme is proposed for wind farm integrated power network. Any fixed threshold setting based protection scheme is not always suitable for the different operating conditions of power system. Considering the possible modulations in the fault signal, a particle swarm optimization (PSO) based differential relay algorithm is proposed in this paper. The positive sequence current differential principle is used. For different operating conditions, fault conditions and configurations of the system, the threshold value can be calculated online. So, practically the method can be applied to any power system model and the impact of dynamic operation of wind farm on the protection function is negligible. The threshold setting is designed considering the fault location and fault inception angle. Initially, the most effective faults among all the possible faults are identified with a single variable (fault location) objective function. Later, only single-phase-to-ground fault is considered for threshold setting with all possible parameters. The method is tested using a standard power system model integrated with wind farm and simulated using MATLAB R2016a software. Results prove the efficacy of the method.

中文翻译：

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风电场并网自适应差动保护方案

摘要 本文提出了一种适用于风电场综合电网的自适应差动保护方案。任何基于固定阈值设置的保护方案并不总是适合电力系统的不同运行条件。考虑到故障信号中可能存在的调制，本文提出了一种基于粒子群优化（PSO）的差分中继算法。使用正序电流差动原理。针对系统的不同运行条件、故障条件和配置，可以在线计算阈值。因此，该方法实际上可以应用于任何电力系统模型，并且风电场动态运行对保护功能的影响可以忽略不计。阈值设置的设计考虑了故障位置和故障起始角。最初，所有可能的故障中最有效的故障用单个变量（故障位置）目标函数来识别。之后，仅考虑单相接地故障用于具有所有可能参数的阈值设置。该方法使用与风电场集成的标准电力系统模型进行测试，并使用MATLAB R2016a软件进行仿真。结果证明了该方法的有效性。