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一种基于先进图形算法的直流微电网千米级和跨区域故障检测保护策略。

An advanced graph algorithm-based protection strategy for detecting kilometric and cross-country faults in DC microgrid.

作者信息

Fathima S Faazila, L Premalatha, Yuvaraj Prithviraj

机构信息

School of Electrical Engineering, Vellore Institute of Technology, Chennai, India.

出版信息

Heliyon. 2024 Jun 12;10(12):e32845. doi: 10.1016/j.heliyon.2024.e32845. eCollection 2024 Jun 30.

Abstract

Low voltage DC microgrids (LVDC) are on rise, because of increase in usage of electronics-based utility loads. However, the protection and safety aspects of these grids remain unresolved due to the fault current magnitude, unnecessary tripping, and blinding of protection. In this paper, an adaptive differential protection system incorporated with an advanced graph algorithm is proposed for DC microgrid. This graph algorithm is a combination of Fenwick tree and Bidirectional Dijkstra algorithm. Fenwick tree algorithm is used to determine the network configuration and Bidirectional Dijkstra algorithm is used to determine the least distance from the fault location to the nearest distributed generations. The developed protection scheme is applied to a 7 bus, 400 V DC microgrid setup using Real Time simulator (control hardware in loop) to detect and clear the faults such as kilometric faults, and cross-country faults. In terms of efficiency, the proposed algorithm demonstrates superiority over the conventional algorithm by detecting and rectifying faults in 384 μs.The results depict the robustness of the protection setup in clearing the faults rapidly with minimum network disconnection.

摘要

由于基于电子设备的公用事业负荷使用量增加,低压直流微电网(LVDC)正在兴起。然而,由于故障电流大小、不必要的跳闸以及保护装置的盲目性,这些电网的保护和安全方面仍未得到解决。本文提出了一种结合先进图形算法的自适应差动保护系统,用于直流微电网。该图形算法是Fenwick树和双向迪杰斯特拉算法的组合。Fenwick树算法用于确定网络配置,双向迪杰斯特拉算法用于确定从故障位置到最近分布式电源的最短距离。所开发的保护方案应用于一个7母线、400V直流微电网设置,使用实时模拟器(硬件在环控制)来检测和清除诸如千米级故障和跨区域故障等故障。在效率方面,所提出的算法通过在384μs内检测和纠正故障,展示了优于传统算法的优势。结果表明,该保护装置具有强大的功能,能够以最小的网络断开迅速清除故障。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72e6/11225844/1bbba4f9509f/gr1.jpg

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