Title :
Optimal measurement devices allocation for harmonic state estimation considering parameters uncertainty in distribution networks
Author :
Muscas, Carlo ; Pilo, Fabrizio ; Pisano, Giuditta ; Sulis, Sara
Author_Institution :
Univ. of Cagliari, Cagliari
Abstract :
In many applications of power quality monitoring, distributed measurement systems are required to provide an evaluation of the harmonic status of the system. Anyway, in distribution systems, only a few network nodes can, with acceptable costs, be equipped with measurement devices. As a consequence, lack of information has to be covered by means of suitable Harmonic State Estimation (HSE) techniques. An optimization algorithm is proposed to deals with the problem of choosing, at the lowest possible cost, the optimal number and position of measurement instruments. Such devices should allow HSE algorithms to provide results having a prefixed level of accuracy. Both the uncertainty introduced by the measurement devices and the tolerance in the knowledge of the network parameters (line impedances) are taken into account in the proposed approach. Simulation results on a benchmark distribution network show the validity of the proposed approach.
Keywords :
distribution networks; measurement uncertainty; power system measurement; distribution networks; harmonic state estimation; optimal measurement devices allocation; optimization algorithm; parameters uncertainty; Cost function; Impedance measurement; Instruments; Monitoring; Position measurement; Power measurement; Power quality; Power system harmonics; State estimation; Uncertain systems; Dynamic programming; Harmonic State Estimation; Monte Carlo methods; Network parameters; Optimal meter placement;
Conference_Titel :
Electrical Power Quality and Utilisation, 2007. EPQU 2007. 9th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-84-690-9441-9
Electronic_ISBN :
978-84-690-9441-9
DOI :
10.1109/EPQU.2007.4424167