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首页> 外文会议>Annual Conference of the IEEE Industrial Electronics Society >Islanding detection based on networked ellipsoidal estimation for distributed grid-connected PV generation systems
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Islanding detection based on networked ellipsoidal estimation for distributed grid-connected PV generation systems

机译：基于网络椭球估计的分布式光伏并网发电系统孤岛检测

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This paper proposes a novel islanding fault detection scheme based on the networked ellipsoidal estimation method for distributed grid-connected photovoltaic (PV) generation systems. The detection of the islanding condition is determined by computing the intersection of the global ellipsoidal estimations. While the global estimations are integrated at each sampling instant with all the local ellipsoidal estimations provided respectively by the local estimators in the communication network. If the islanding fault exists, the intersection of the global ellipsoids would be empty. If the islanding condition does not happen, the intersection of the global ellipsoids would be non-empty. The conditions on the existence of the local and the global ellipsoidal estimation methods are derived by two convex optimization approaches respectively. A simulation is provided by Matlab based on a model of 2-kW single-phase grid-connected power generation system to illustrate the effectiveness of the designed scheme on the detection of the islanding fault.
机译：提出了一种基于网络椭圆估计法的分布式孤岛光伏发电系统孤岛故障检测方案。孤岛条件的检测是通过计算全局椭圆估计的交集来确定的。虽然全局估计在每个采样时刻与通信网络中的局部估计器分别提供的所有局部椭圆形估计集成在一起。如果存在孤岛故障，则全局椭球的交集将为空。如果没有发生孤岛状态，则全局椭球的交集将为非空。分别通过两种凸优化方法推导了局部椭球估计方法和全局椭球估计方法的存在条件。 Matlab基于2 kW单相并网发电系统的模型进行了仿真，以说明所设计方案在检测孤岛故障方面的有效性。

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