Title :
Optimal Meter Placement for Robust Measurement Systems in Active Distribution Grids
Author :
Junqi Liu ; Ponci, Ferdinanda ; Monti, Antonello ; Muscas, Carlo ; Pegoraro, Paolo ; Sulis, Sara
Author_Institution :
E.ON Energy Res. Center, RWTH Aachen Univ., Aachen, Germany
Abstract :
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.
Keywords :
Gaussian distribution; distribution networks; optimisation; phasor measurement; power system control; smart meters; Gaussian mixture model; UKGDS 16-bus distribution network; active distribution grids; distributed generation; distribution system state estimation; grid control; grid operation; intermittent power injections; load generation characteristic; measurement systems; nonGaussian distribution; optimal meter placement; phasor measurement units; renewable sources; smart metering devices; Accuracy; Covariance matrices; Decision support systems; Optimization; Phasor measurement units; Robustness; Voltage measurement; Distribution system state estimation; optimal meter placement; phasor measurement units (PMUs); power system measurements; smart metering; uncertainty;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
DOI :
10.1109/TIM.2013.2295657