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Development of state estimator for low voltage networks using smart meters measurement data

机译:使用智能电表测量数据开发低压网络的状态估计器

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Accurate and reliable state estimation for low voltage networks is the corner stone for flexible operation and control in the current transaction from passive conventional grids to active smart grids. The development in the energy supply has revealed a rapid increase of controllable distributed generators, consumer installations, stationary storage systems, and electric vehicles. This development has led to a significantly different kind of system behavior which must firstly be understood, and then suggestions for operational network improvements in order to increase the security and efficiency of the distribution system operation can be made. Following this, a high chronological and topological resolution of information for the system state estimation in the low voltage level is necessary. However, measurement data are necessary for state estimation. These measurements can be obtained either from the distribution system measurement infrastructure or from the smart meters installed at the customer's connection points. The focus of this paper is to develop and validate a state estimator for low voltage networks with distributed generators and to obtain the technical feasibility of using smart meters and their measurements for low voltage network observability and controllability.
机译:低压网络的准确可靠的状态估计是用于灵活的操作和控制在当前事务中,从被动传统网格到主动智能电网的控制。能源供应的开发透露可控分布式发电机,消费者装置,静止存储系统和电动车辆的快速增加。该开发导致了一个明显不同的系统行为,必须首先理解,然后可以进行操作网络改进的建议,以提高分配系统操作的安全性和效率。在此之后,需要在低电压电平中的系统状态估计信息的高时间和拓扑分辨率是必要的。但是,测量数据是状态估计所必需的。这些测量可以从分配系统测量基础设施或安装在客户连接点的智能仪表中获得。本文的重点是开发和验证具有分布式发电机的低压网络的状态估计,并获得使用智能电表的技术可行性及其用于低压网络可观察性和可控性的测量。

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