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

机译:利用智能电表测量数据开发低压网络状态估计器

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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:从无源常规电网到有源智能电网的当前交易中,低压网络的准确可靠的状态估计是灵活操作和控制的基石。能源供应的发展表明,可控分布式发电机,用户设备,固定存储系统和电动汽车的数量迅速增加。这种发展导致了必须首先理解的一种明显不同的系统行为,然后可以提出改进运营网络以提高配电系统运行的安全性和效率的建议。在此之后,对于在低电压水平下进行系统状态估计而言,信息的高时序和拓扑分辨率是必要的。但是,状态估计需要测量数据。这些测量值既可以从配电系统测量基础结构中获得,也可以从安装在客户连接点处的智能电表中获得。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器,并获得使用智能电表及其测量以实现低压网络可观察性和可控制性的技术可行性。

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