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Use of intelligent metering systems to optimize the network state estimation in the distribution network 4.0

机译:使用智能计量系统优化配电网络4.0中的网络状态估计

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The present article begins with the theoretical composition of the communication infrastructure of an iMsys. In the next step, the practical field test realisation of the system will be presented on the basis of the implementation results achieved so far together with research partners from industry within the scope of the DESIGNETZ project. It will be shown how and in which form SM data are implemented and processed within the project in the rolled out distribution grid automation system. Within the context of the processing operation, synergies resulting from the combination of SM data and the own sensor measurement values of the distribution grid automation system will be demonstrated. The focus will be on improving the quality of the linear substitute value formation towards an adaptive substitute value formation, which enables a more exact power flow calculation. Finally, simulative results are presented which substantiate the added value of SM data. The differentiation between the various granularities of the SM data and the sensor measurement values provided by the automation system itself is made and its potential for expansion is presented. In the next step, the relevance of a concept for the processing of averaged energy values, the transmission of which is prescribed by the Measuring Point Operating Act (MPOA), will be examined based on the regulatory frameworks of iMsys. Based on this, future scenarios in which different granularities of SM data are available are described and target-oriented concepts for the use of the existing granularities are envisaged. Finally, the limitations and advantages of SM data are discussed and summarized.
机译:本文从iMsys的通信基础结构的理论组成开始。下一步,将根据迄今为止在DESIGNETZ项目范围内与行业研究合作伙伴达成的实施结果,介绍该系统的实际现场测试实现。将显示在推出的配电网自动化系统中如何以及在项目内以何种形式实施和处理SM数据。在处理操作的上下文中,将展示SM数据与配电网自动化系统自身的传感器测量值的组合所产生的协同作用。重点将放在改进线性替代值形成的质量上,以适应自适应替代值形成,这使得能够进行更精确的潮流计算。最后,给出了模拟结果,证实了SM数据的附加值。区分了SM数据的各种粒度和由自动化系统本身提供的传感器测量值,并提出了其扩展潜力。在下一步中,将基于iMsys的监管框架来研究处理平均能量值的概念的相关性,该概念的传输由《测量点操作法》(MPOA)规定。基于此,描述了未来场景,其中将使用不同粒度的SM数据,并设想了使用现有粒度的面向目标的概念。最后,讨论并总结了SM数据的局限性和优势。

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