Smart grid state estimation and stabilisation

Rana, Md M., Xiang, Wei, and Wang, Erric (2018) Smart grid state estimation and stabilisation. International Journal of Electrical Power and Energy Systems, 102. pp. 152-159.

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This paper proposes a smart grid state estimation and stabilisation algorithm. It relies on the principle of Bayesian filter structure where the smart grid state information is estimated in an iterative way. This approach assumes that the system state is a set of stochastic variables with mean and covariance values, which are shifted between the factor and variable nodes to obtain an accurate estimation. Afterwards, a semidefinite programming based optimal feedback controller is designed to stabilise the system states. Using the standard Schur complement, the system state matrix is written into the linear matrix inequality form. After solving the proposed convex optimisation problem, the designed feedback gain can stabilise the system states. Numerical results illustrate that the proposed scheme is able to estimate and stabilise the system states within a very short time.

Item ID: 55832
Item Type: Article (Research - C1)
ISSN: 1879-3517
Keywords: distributed energy resources, microgrid, state estimation, stabilisation
Copyright Information: Copyright © 2018 Published by Elsevier Ltd.
Date Deposited: 10 Oct 2018 09:32
FoR Codes: 40 ENGINEERING > 4008 Electrical engineering > 400805 Electrical energy transmission, networks and systems @ 100%
SEO Codes: 85 ENERGY > 8506 Energy Storage, Distribution and Supply > 850604 Energy Transmission and Distribution (excl. Hydrogen) @ 100%
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