Semi AI-based protection element for MMC-MTDC using local-measurements
Semi AI-based protection element for MMC-MTDC using local-measurements
复制标题
使用本地测量的 MMC-MTDC 半基于人工智能的保护元件
DOI：
10.1016/j.ijepes.2022.108310
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发表时间：
2022
影响因子：
5.2
通讯作者：
Loi Lei Lai
中科院分区：
文献类型：
--
作者：
Ning Tong;Zhenjie Tang;Yu Wang;Chun Sing Lai;Loi Lei Lai
·提出了一种新的基于半人工智能的MMC-MTDC保护元件，包括启动判据和故障识别判据。·利用浪涌传播特性识别故障方向的启动判据。·用于识别正向内部故障的基于AI的故障识别标准。·所提出的保护元件具有足够的速度、灵敏度、安全性和选择性。基于模块化多电平换流器的多端高压直流输电系统（MMC-MTDC）是一种很有前途的多区域柔性输电技术。由于这样的系统对DC故障非常敏感，因此迫切需要提出一种保护元件，该保护元件可以在一旦存在内部DC线路故障时在几毫秒内使本地DC断路器（CB）跳闸。然而，现有的主保护方案面临着平衡选择性和灵敏度的困境。为了解决这一问题，提出了一种新的基于半人工智能（AI）的保护元件，包括启动判据和故障识别判据。启动判据是基于初始故障引起的浪涌的传播特性。为了提高保护元件的实时性能，除非故障被识别为前向故障，否则保护元件不会使故障识别过程跳闸。故障识别判据是基于人工智能（AI），并进一步确定是否正向故障是内部的，这只工作时，启动判据跳闸。仿真结果表明，该保护元件具有良好的速度，灵敏度和选择性，对内部直流故障和外部故障条件下是相当安全的。干扰的影响，例如白色噪声、异常采样等，对所提出的保护元件的安全性也进行了讨论。
• A novel semi AI-based protection element proposed for the MMC-MTDC, including a start-up criterion and a fault-identification criterio. • The start-up criterion using surge-propagating characteristics to identify the fault direction. • The AI-based fault-identification criterion used to identify forward internal faults. • The proposed protection element has sufficient speed, sensitivity, security, and selectivity. The multi-terminal HVDC system based on the modular multilevel converter (MMC-MTDC) is a promising technique for flexible power transmissions to multiple regions. As such a system is quite sensitive to DC faults, there is an acute need to propose a protection element that can trip the local DC circuit breaker (CB) within several milliseconds once there is an internal DC line fault. However, the existing main protection scheme faces a dilemma balancing selectivity and sensitivity. To solve this problem, a novel semi artificial-intelligence (AI) based protection element is proposed, including a start-up criterion and a fault-identification criterion. The start-up criterion is based on the propagation characteristics of the initial fault-induced surge. To enhance the real-time performance of the protection element, it will not trip the fault-identification process unless the fault is identified as a forward one. The fault-identification criterion is based on artificial intelligence (AI), and further determines whether the forward fault is internal, which only works if the start-up criterion trips. Simulation results indicate that the proposed protection element has satisfactory speed, sensitivity, and selectivity against internal DC faults and is quite secure under external fault conditions. The impact of disturbances, such as the white noise, abnormal samplings, etc., on the security of the proposed protection element is also discussed.
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影响因子：
4.4
作者：
Jeremy Sneath;A. Rajapakse
通讯作者：
Jeremy Sneath;A. Rajapakse
DOI：
10.1109/pesgm.2018.8586307
发表时间：
2018-08
期刊：
2018 IEEE Power & Energy Society General Meeting (PESGM)
影响因子：
--
作者：
G. Song;X. Chu;Shuping Gao;X. Kang;Z. Jiao
通讯作者：
G. Song;X. Chu;Shuping Gao;X. Kang;Z. Jiao
径向 MTDC 系统的直流故障分析和基于瞬态平均电流的故障检测
影响因子：
4.4
作者：
Li Jiapeng;Li Yujun;Xiong Liansong;Jia Ke;Song Guobing
通讯作者：
Song Guobing
影响因子：
7.7
作者：
Chenhao Zhang;G. Song;A. Meliopoulos;Xinzhou Dong
通讯作者：
Chenhao Zhang;G. Song;A. Meliopoulos;Xinzhou Dong
DOI：
10.1016/j.ijepes.2017.11.007
发表时间：
2018-04
影响因子：
5.2
作者：
Pu Zhao;Qing Chen;Kongming Sun
通讯作者：
Pu Zhao;Qing Chen;Kongming Sun