Semantically-enhanced Configurability in State Estimation Structures of Power Systems
Domaine:
environment and energyType de record:
The estimation of the states of an electric power system, that is, the magnitude and angle of the voltage at all buses, is a very critical input to many monitoring and control functions of power systems. The recently witnessed rapid deployment of synchronized measurement technology (SMT) in power systems, has led to research advancements in the state estimation technology that introduce the notion of hybrid state estimation. These techniques incorporate the synchrophasors provided by the Phasor Measurement Units (PMUs) in the state estimation process, thus improving the state estimation accuracy. However, both the traditional as well as the hybrid techniques, assume a pre-defined configuration and characteristics of the measurement devices. This work explores how semantic modelling and reasoning techniques may contribute to the online configuration of the state estimation architectures given the available measurement capabilities at each moment.
IEEE Published version: G. M. Milis, M. Asprou, E. Kyriakides, C. G. Panayiotou and M. M. Polycarpou, "Semantically-Enhanced Configurability in State Estimation Structures of Power Systems," 2015 IEEE Symposium Series on Computational Intelligence, Cape Town, 2015, pp. 679-686. doi: 10.1109/SSCI.2015.104 keywords: {phasor measurement;state estimation;PMU;electric power system;phasor measurement units;power system control;power system monitoring;reasoning techniques;semantic modelling;semantically-enhanced configurability;state estimation architectures;state estimation process;state estimation structures;state estimation technology;synchronized measurement technology;Current measurement;Monitoring;Phasor measurement units;Semantics;State estimation;Transmission line measurements;Voltage measurement}, URL: ieeexplore.ieee.org © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, in-cluding reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to serv-ers or lists, or reuse of any copyrighted component of this work in other works.