Optimal utilisation of PMU measurements in power system hybrid state estimators

A state estimator provides power system states by minimising the difference between the available measurement set and expected measurements. This minimisation problem is solved using the weighted least squares method or conventional optimisation methods. Most of the optimisation-based conventional m...

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Bibliographic Details
Published in:IET generation, transmission & distribution Vol. 13; no. 21; pp. 4978 - 4986
Main Authors: Dubey, Anamika, Chakrabarti, Saikat, Sharma, Ankush, Terzija, Vladimir
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 05.11.2019
Subjects:
available measurement
conventional measurement devices
conventional optimisation methods
hybrid measurement configuration
IEEE 118 bus test system
IEEE standards
Indian northern region power grid‐246 bus system
inequality constraints
large‐scale nonlinear programming problems
linear programming
minimisation problem
nonlinear constrained optimisation problems
optimal utilisation
optimisation
optimisation‐based conventional methods
phasor measurement
phasor measurement units
PMU measurements
power grids
power system hybrid state estimators
power system measurement
power system stability
power system state estimation
power system states
quadratic programming
Research Article
sequential quadratic programming algorithm
SQP
state estimation
state estimator
weighted least squares method
state estimator
power system measurement
linear programming
conventional optimisation methods
nonlinear constrained optimisation problems
phasor measurement units
conventional measurement devices
minimisation problem
optimisation
weighted least squares method
Indian northern region power grid-246 bus system
IEEE standards
sequential quadratic programming algorithm
power grids
optimisation-based conventional methods
PMU measurements
IEEE 118 bus test system
power system stability
power system state estimation
inequality constraints
hybrid measurement configuration
optimal utilisation
quadratic programming
available measurement
power system states
SQP
state estimation
power system hybrid state estimators
phasor measurement
large-scale nonlinear programming problems
ISSN:1751-8687, 1751-8695
Online Access:Get full text
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Description
Summary:A state estimator provides power system states by minimising the difference between the available measurement set and expected measurements. This minimisation problem is solved using the weighted least squares method or conventional optimisation methods. Most of the optimisation-based conventional methods used for power system state estimation are based on derivative approaches. These traditional methods suffer from problems such as the complication in handling inequality constraints, slow convergence etc. Non-linear constrained optimisation problems can be efficiently solved by the sequential quadratic programming (SQP) algorithm. SQP can be applied to small as well as large-scale non-linear programming problems having a large number of constraints. In the proposed algorithm, hybrid measurement configuration, consisting of measurements from phasor measurement units as well as conventional measurement devices, is used and applied on IEEE 14 bus, IEEE 118 bus test system and Indian northern region power grid-246 bus system.
ISSN:1751-8687
1751-8695
DOI:10.1049/iet-gtd.2019.0010