
中国电力科学研究院有限公司,北京,100192
Published Online:13 January 2026,
Published:13 January 2026
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王帅, 贾东梨, 刘科研, 叶学顺, 盛万兴. 适应高比例光伏接入的有源配电网改进型故障保护策略[J]. 中国电力, 2026, 59(1): 105-114.
王帅, 贾东梨, 刘科研, et al. Improved fault protection strategy for active distribution networks adapting to high proportion photovoltaic access[J]. 2026, 59(1): 105-114.
王帅, 贾东梨, 刘科研, 叶学顺, 盛万兴. 适应高比例光伏接入的有源配电网改进型故障保护策略[J]. 中国电力, 2026, 59(1): 105-114. DOI: 10.11930/j.issn.1004-9649.202506057.
王帅, 贾东梨, 刘科研, et al. Improved fault protection strategy for active distribution networks adapting to high proportion photovoltaic access[J]. 2026, 59(1): 105-114. DOI: 10.11930/j.issn.1004-9649.202506057.
随着大量光伏(photovoltaic,PV)接入,传统配电网由单电源向多电源结构转变。光伏存在间歇性和不确定性,传统整定策略在电流保护时,易出现误动问题。通过结合光伏输出特点及实测数据,基于生成对抗网络(generative adversarial networks,GAN)算法生成典型场景数据集,构造不同故障场景,提出了一种改进的自适应电流保护策略,实时调整电流保护整定系数,搭建了有源配电网模型,并在3种工况下与传统电流保护策略进行对比。从算例仿真可知:所提策略整体的误动率降低了25%,比传统电流保护方法更具优势。
With a large number of photovoltaic (PV) access
the traditional distribution network has changed from a single power source to a multi- source structure. There is intermittence and uncertainty in PV
and it is easy to have the problem of false tripping in current protection when using traditional setting strategy. By the output characteristics of PV and actual measurement data
typical scenario data sets are generated based on the generative adversarial network (GAN) algorithm
and different fault scenarios are constructed. An improved current protection strategy is proposed to adjust the current protection setting coefficient in real time. The active distribution network model is built and compared with the traditional current protection strategy under 3 working conditions It can be seen from the example simulation: The overall false tripping rate of the proposed strategy is reduced by 25%
which is more advantageous than the traditional current protection.
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