5G环境下配网差动保护采样数据缺失应对策略

有源配电网中，电流差动保护相较于传统三段式过流保护能够整体地提升保护水平，但依赖光纤通道，而光纤通道的广覆盖难以实现。5G具有高可靠性、低时延、广覆盖等优势，有望成为有源配电网差动保护新的通信方案，但仍可能受环境干扰等因素导致采样数据缺失，影响线路正常运行和区外故障时保护的正确动作。为解决上述问题，首先，结合ρ平面法定性分析了采样数据缺失的各种场景对保护动作的影响；然后，提出一种使用阶次组合Neville插值法对采样缺失数据进行插值重构的应对策略；最后，在PSCAD中搭建有源配电网仿真模型，在多种采样数据缺失场景下对比了多种插值法的插值精度，验证了文中所提策略在提升保护动作特性方面的有效性。通过理论计算分析，得出使用该策略在高性能中央处理器(CPU)下不会影响保护实时性的结论。

Countermeasures for current differential protection in 5G-based active distribution network under sampling data missing scenario

Compared with the traditional three-section current protection, the current differential protection can im-prove the protection performance as a whole in the active distribution network, but the wide coverage of Fibre Channel is difficult to achieve. The 5G, with its advantages of high reliability, low latency and wide coverage, is expected to become a new communication scheme for differential protection in active distri-bution network. However, the 5G communication may still be affected by environmental interference and other factors, resulting in the missing of sampling data, which may affect the correct operation of the pro-tection under the normal operation and external fault scenarios. To solve the above problems, first, combined with the ? plane method, the influences of various sampling data missing scenarios on the protection op-eration are analyzed qualitatively. Then, a strategy to reconstruct the missing sampling data by using order combination Neville interpolation method is proposed. Finally, an active distribution network simulation model is built in PSCAD, and the interpolation precisions of various interpolation methods are compared under a variety of missing sampling data scenarios, which verifies the effectiveness of the strategy proposed in this paper in improving the protection operation characteristics. Through theoretical calculation and analysis, it is concluded that the proposed strategy does not affect the real-time performance of protection in high-performance CPU.