DataSheet1_Implementation of Islanding Recognizing Technique for Wind Distributed Generations Considering Insignificant NDZ.docx

The incorporation of distributed energy resources (DERs) into the electricity grid yields environmental, technical, and economic benefits. However, in addition to the benefits, the widespread use of DERs causes technical issues. Islanding is a big concern in terms of equipment protection and personnel safety, and it should be detected as soon as possible. The proposed approach employs a passive islanding detection technique based on reactive power (Q). The Q was chosen following a comparison of five other indices. Comparative analysis reveals that Q has the highest sensitivity and accuracy for islanding recognition when compared to all other observed parameters. Different case studies have been performed considering the worst-case scenario to check the working efficiency of the proposed scheme that simply distinguishes the islanding conditions from non-islanding conditions, which include load, motor, and capacitor switching, various types of fault switching, DG tripping cases, and weak grid contribution. The proposed strategy is straightforward, with quick execution and simple implementation in the MATLAB/SIMULINK environment on the IEEE 1547-2018 generic test system. With a small non-detection zone, islanding is detected in 0.038 s.

将分布式能源资源（DERs）整合至电力网络中，不仅能够带来环境、技术和经济上的多重益处，然而，伴随着这些益处的，是广泛使用DERs所带来的技术挑战。孤岛化问题，尤其在设备保护及人员安全层面，成为一大关注焦点，并需尽快予以检测。本研究提出了一种基于无功功率（Q）的被动孤岛检测方法。经过对五种其他指标的对比分析，选择Q作为检测指标。比较研究表明，相较于其他观测参数，Q在孤岛识别方面具有最高的灵敏度和准确性。针对最坏情况下的不同案例进行了研究，以验证所提出方案的工作效率，该方案旨在简单地区分孤岛化状态与非孤岛化状态，其中非孤岛化状态包括负载、电机和电容器的切换，各种类型的故障切换，分布式发电机组（DG）跳闸情况以及弱电网的贡献。所提出的策略简洁明了，执行迅速，且在MATLAB/SIMULINK环境中对IEEE 1547-2018通用测试系统进行简单实施。得益于较小的未检测区域，孤岛化情况能在0.038秒内被检测到。