当前位置: X-MOL 学术IEEE Trans. Smart. Grid. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Topology Identification in Distribution Systems Using Line Current Sensors: An MILP Approach
IEEE Transactions on Smart Grid ( IF 8.6 ) Pub Date : 2019-08-05 , DOI: 10.1109/tsg.2019.2933006
Mohammad Farajollahi , Alireza Shahsavari , Hamed Mohsenian-Rad

This study is motivated by the recent advancements in developing non-contact line sensor technologies that come at a low cost, but have limited measurement capabilities. While they are intended to measure current, they cannot measure voltage and power. This poses a challenge to certain distribution system applications, such as topology identification (TI), because they commonly use voltage and power measurements. To address this open problem, a new TI algorithm is proposed based on measurements from a few line current sensors, together with available pseudo-measurements for nodal power injections. A TI problem formulation is first developed in the form of a mixed integer nonlinear program (MINLP). Several reformulation steps are then adopted to tackle the nonlinearities to express the TI problem in the form of a mixed integer linear program (MILP). The proposed method is able to identify all possible topologies, including radial, loop, and island configurations, which extends the application of TI to identify switch malfunctions and to detect outages. In addition, recommendations are made with respect to the number and location of the line current sensors to ensure performance accuracy of the TI method. A novel multi-period TI algorithm is also proposed to use multiple measurement snapshots to improve the TI accuracy and robustness against errors in pseudo-measurements. The effectiveness of the proposed TI algorithms is examined on the IEEE 33-bus test case as well as a test case based on a real-world feeder in Riverside, CA.

中文翻译:

使用线路电流传感器的配电系统拓扑识别:一种MILP方法

这项研究的动机是开发低成本,但测量能力有限的非接触式线传感器技术的最新进展。尽管它们旨在测量电流,但它们无法测量电压和功率。这对某些配电系统应用(例如拓扑识别(TI))构成了挑战,因为它们通常使用电压和功率测量。为了解决这个开放性问题,提出了一种新的TI算法,该算法基于一些线路电流传感器的测量结果以及用于节点功率注入的可用伪测量结果。首先以混合整数非线性程序(MINLP)的形式开发TI问题公式。然后采用了几个重新制定步骤来解决非线性问题,以混合整数线性程序(MILP)的形式表达TI问题。所提出的方法能够识别所有可能的拓扑,包括径向,环形和孤岛配置,从而扩展了TI的应用范围,从而可以识别开关故障并检测中断。另外,针对线路电流传感器的数量和位置提出了建议,以确保TI方法的性能准确性。还提出了一种新颖的多周期TI算法,以使用多个测量快照来提高TI准确性和针对伪测量中的错误的鲁棒性。在IEEE 33总线测试案例以及基于加利福尼亚里弗赛德市的真实馈线的测试案例中,对所提出的TI算法的有效性进行了检验。这扩展了TI在识别开关故障和检测中断方面的应用。另外,针对线路电流传感器的数量和位置提出了建议,以确保TI方法的性能准确性。还提出了一种新颖的多周期TI算法,以使用多个测量快照来提高TI准确性和针对伪测量中的错误的鲁棒性。在IEEE 33总线测试案例以及基于加利福尼亚里弗赛德市基于真实馈线的测试案例中,对所提出的TI算法的有效性进行了检验。这扩展了TI在识别开关故障和检测中断方面的应用。另外,针对线路电流传感器的数量和位置提出了建议,以确保TI方法的性能准确性。还提出了一种新颖的多周期TI算法,以使用多个测量快照来提高TI准确性和针对伪测量中的错误的鲁棒性。在IEEE 33总线测试案例以及基于加利福尼亚里弗赛德市基于真实馈线的测试案例中,对所提出的TI算法的有效性进行了检验。还提出了一种新颖的多周期TI算法,以使用多个测量快照来提高TI准确性和针对伪测量中的错误的鲁棒性。在IEEE 33总线测试案例以及基于加利福尼亚里弗赛德市基于真实馈线的测试案例中,对所提出的TI算法的有效性进行了检验。还提出了一种新颖的多周期TI算法,以使用多个测量快照来提高TI准确性和针对伪测量中的错误的鲁棒性。在IEEE 33总线测试案例以及基于加利福尼亚里弗赛德市基于真实馈线的测试案例中,对所提出的TI算法的有效性进行了检验。
更新日期:2020-04-22
down
wechat
bug