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首页> 外文期刊>Electric power systems research >A new multiple line outage identification formulation using a sparse vector recovery technique
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A new multiple line outage identification formulation using a sparse vector recovery technique

机译:使用稀疏向量恢复技术的新的多线中断识别公式

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This paper develops new methods to estimate the locations of transmission line outages in transmission networks. Two transmission outage models are developed based on DC and AC power flow equations and injected power changes due to line outages. The models are then generalized to include other transmission lines in addition to the outaged lines to provide a full representation of transmission networks. Three methods are developed based on the DC and AC models: Method_l uses the DC power flow model; Method_2 uses the AC power flow model with zero line resistance; Method_3 uses the AC power flow model with line losses taken into account. A regularized least square based on l(1)-norm minimization is developed to solve the models and estimate the locations of outages. Simulation results of the IEEE 39-, 57- and 118-bus systems verify the effectiveness of the developed methods in detecting line outage locations. (C) 2016 Elsevier B.V. All rights reserved.
机译:本文提出了一种新的方法来估计传输网络中传输线路中断的位置。基于直流和交流潮流方程,开发了两种传输中断模型,并且由于线路中断,注入的功率发生了变化。然后,对模型进行概括以包括除中断线路以外的其他传输线,以提供传输网络的完整表示。基于直流和交流模型开发了三种方法:Method_1使用直流潮流模型;方法_2使用零线电阻的交流潮流模型; Method_3使用考虑了线路损耗的交流潮流模型。开发了基于l(1)-范数最小化的正则化最小二乘法来求解模型并估计中断的位置。 IEEE 39、57和118总线系统的仿真结果验证了所开发方法在检测线路中断位置方面的有效性。 (C)2016 Elsevier B.V.保留所有权利。

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