Optimal Meter Placement for Robust Measurement Systems in Active Distribution Grids

被引:124
作者
Liu, Junqi [1 ]
Ponci, Ferdinanda [1 ]
Monti, Antonello [1 ]
Muscas, Carlo [2 ]
Pegoraro, Paolo Attilio [2 ]
Sulis, Sara [2 ]
机构
[1] Rhein Westfal TH Aachen, E ON Energy Res Ctr, Inst Automat Complex Power Syst, D-52074 Aachen, Germany
[2] Univ Cagliari, Dept Elect & Elect Engn, I-09123 Cagliari, Italy
关键词
Distribution system state estimation; optimal meter placement; phasor measurement units (PMUs); power system measurements; smart metering; uncertainty; STATE ESTIMATION; DISTRIBUTION NETWORKS; ALGORITHM; LOAD;
D O I
10.1109/TIM.2013.2295657
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Future active distribution grids are characterized by rapid and significant changes of operation and behavior due to, for example, intermittent power injections from renewable sources and the load-generation characteristic of the so-called prosumers. The design of a robust measurement infrastructure is critical for safe and effective grid control and operation. We had earlier proposed a placement procedure that allows finding an optimal robust measurement location incorporating phasor measurement units and smart metering devices for distribution system state estimation. In this paper, the lack of detailed information on distributed generation is also considered in the optimal meter placement procedure, so that the distributed measurement system can provide accurate estimates even with limited knowledge of the profile of the injected power. Possible non-Gaussian distribution of the distributed power generation has been taken into account. With this aim, the Gaussian mixture model has been incorporated into the placement optimization by means of the so-called Gaussian component combination method. The occurrence of either loss of data or degradation of metrological performance of the measurement devices is also considered. Tests performed on a UKGDS 16-bus distribution network are presented and discussed.
引用
收藏
页码:1096 / 1105
页数:10
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