低可观测性配电系统谐波源分层定位方法OA
Hierarchical location method for harmonic sources in low-observability power distribution systems
针对低可观测性配电系统的谐波源定位问题,文中提出一种基于物理网架信息的谐波源分层定位方法.首先,针对配电网的物理网架特征,梳理径向拓扑下的谐波电压/电流分布规律.然后,优化布置量测点位以分割重构网架拓扑,并通过谐波电流路径辨识谐波源的个数及所在区段.最后,在目标区段内开展精确估计,从而实现对谐波源的精准定位.文中基于混合整数二次规划(mixed integer quadratic programming,MIQP)开展建模与求解,在MATLAB 搭建仿真平台,以 IEEE 33节点系统为算例开展仿真计算,验证所提方法的有效性和准确性.结果表明,文中所提谐波源分层定位方法可以解决贴合实际场景的谐波源定位问题,即在低可观测性配电系统中,在谐波源数量和位置均未知的情况下实现谐波源定位.
To address the issue of harmonic source localization in low-observability power distribution systems,a hierarchical localization method based on physical network structure information is proposed.Firstly,according to the physical characteristics of distribution networks,the distribution rules of harmonic voltages and currents under radial topology are analyzed.Then,measurement points are reasonably placed to partition the network and construct a new topology.Based on harmonic current path identification,the number of harmonic sources and their located sections are determined.Finally,precise estimation is carried out in the determined sections to obtain the specific locations of harmonic sources.The model is established and solved based on mixed integer quadratic programming(MIQP),and simulations are implemented in MATLAB.Taking the IEEE 33-bus system as an example,the effectiveness and accuracy of the proposed method are verified by comparison with existing methods.The results demonstrate that the hierarchical harmonic source localization method presented in this paper can solve harmonic source localization problems that are closely aligned with real-world scenarios,achieving localization of harmonic sources in low-observability distribution systems where both the number and location of harmonic sources are unknown.
李江慧;刘沈全;陈茜;曾德辉;王钢
华南理工大学电力学院,广东 广州 510641华南理工大学电力学院,广东 广州 510641华南理工大学电力学院,广东 广州 510641广州嘉缘电力科技有限公司,广东 广州 510610华南理工大学电力学院,广东 广州 510641
信息技术与安全科学
谐波源定位谐波状态估计低可观测性配电网分层估计混合整数二次规划(MIQP)
harmonic source locationharmonic state estimationlow observabilitydistribution networkhierarchical estimationmixed integer quadratic programming(MIQP)
《电力工程技术》 2026 (6)
53-61,83,10
国家自然科学基金资助项目(52207103)广东省基础与应用基础研究基金资助项目(2023A1515010343)
评论