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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Vydáno v:	IET generation, transmission & distribution Ročník 13; číslo 21; s. 4978 - 4986
Hlavní autoři:	Dubey, Anamika, Chakrabarti, Saikat, Sharma, Ankush, Terzija, Vladimir
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The Institution of Engineering and Technology 05.11.2019
Témata:	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
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Shrnutí:	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