1. 国网青岛供电公司
2. 哈尔滨工业大学
纸质出版:2025
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夏天宇, 牛欢, 文玉杰, 等. 基于多源信息融合的有源配电网故障定位方法[J]. 山东电力技术, 2025,(10):46-54.
夏天宇, 牛欢, 文玉杰, et al. 基于多源信息融合的有源配电网故障定位方法[J]. 2025, (10): 46-54.
夏天宇, 牛欢, 文玉杰, 等. 基于多源信息融合的有源配电网故障定位方法[J]. 山东电力技术, 2025,(10):46-54. DOI: 10.20097/j.cnki.issn1007-9904.240313.
夏天宇, 牛欢, 文玉杰, et al. 基于多源信息融合的有源配电网故障定位方法[J]. 2025, (10): 46-54. DOI: 10.20097/j.cnki.issn1007-9904.240313.
针对馈线终端(feeder terminal unit
FTU)覆盖范围有限和故障告警信息畸变等因素影响有源配电网故障定位准确率问题,提出一种融合配电变压器终端(transformer terminal unit
TTU)失压告警信息和FTU过流告警信息的有源配电网故障定位方法。首先,建立告警信息与配电网拓扑结构间映射关系,构建区间函数、开关函数获取故障告警信息期望值。然后,以实际告警信息与期望告警信息差异化最小为目标函数,利用混合灰狼优化算法求解单一信息源故障区间定位,将多源信息融合得到最终定位结果。最后,以含分布式电源的IEEE 33节点系统为例进行仿真测试,对比不同畸变数量情况下,单一信息源和多源信息融合故障定位结果。结果表明该方法对故障告警信息具有较强容错能力,可以提高有源配电网故障定位准确率,定位时效性满足配电网实际运行需求。
In order to solve the problem of fault location accuracy in active distribution system affected by the distortion of fault alarm information
a fault location method for active distribution system that integrates the voltage loss alarm information of the distribution transformer terminal unit and the over-current alarm information of the feeder terminal unit is proposed.Firstly
a mapping relationship between alarm information and the topology structure of the distribution system is established
and interval functions and switch functions are constructed to obtain the expected values of fault alarm information. Then
taking the minimum difference between actual alarm information and expected alarm information as the objective function
gray wolf optimization algorithm based on particle swarm optimization is used to solve the fault interval location of a single information source
multi-source information fusion to get the final positioning result.Finally
taking the IEEE 33-bus system with distributed generation as an example for simulation testing
the fault location results of single information source and multi-source fusion are compared under different numbers of distortion points
verifying that the method has strong fault tolerance
and can improve the accuracy of fault location in active distribution system
and the location timeliness can meet the actual operation requirements of distribution system.
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