The University of Southampton
University of Southampton Institutional Repository

Stability analysis of networked control in smart grids

Stability analysis of networked control in smart grids
Stability analysis of networked control in smart grids

A suitable networked control scheme and its stability analysis framework have been developed for controlling inherent electromechanical oscillatory dynamics observed in power systems. It is assumed that the feedback signals are obtained at locations away from the controller/actuator and transmitted over a communication network with the help of phasor measurement units (PMUs). Within the generic framework of networked control system (NCS), the evolution of power system dynamics and associated control actions through a communication network have been modeled as a hybrid system. The data delivery rate has been modeled as a stochastic process. The closed-loop stability analysis framework has considered the limiting probability of data dropout in computing the stability margin. The contribution is in quantifying allowable data-dropout limit for a specified closed loop performance. The research findings are useful in specifying the requirement of communication infrastructure and protocol for operating future smart grids.

Cyber physical energy network, damping control, Kalman filtering, linear quadratic Gaussian (LQG), networked control systems (NCS), packet-drop, phasor measurement units (PMUs), smart grid, stochastic stability, thyristor controlled series capacitor (TCSC)
1949-3053
381-390
Singh, Abhinav Kumar
6df7029f-21e3-4a06-b5f7-da46f35fc8d3
Singh, Ravindra
b66a87c3-ff3a-480d-a2d0-d393d1e175e0
Pal, Bikash C.
c062978e-53eb-4d5d-ace8-746ccafa5fb0
Singh, Abhinav Kumar
6df7029f-21e3-4a06-b5f7-da46f35fc8d3
Singh, Ravindra
b66a87c3-ff3a-480d-a2d0-d393d1e175e0
Pal, Bikash C.
c062978e-53eb-4d5d-ace8-746ccafa5fb0

Singh, Abhinav Kumar, Singh, Ravindra and Pal, Bikash C. (2015) Stability analysis of networked control in smart grids. IEEE Transactions on Smart Grid, 6 (1), 381-390, [6813688]. (doi:10.1109/TSG.2014.2314494).

Record type: Article

Abstract

A suitable networked control scheme and its stability analysis framework have been developed for controlling inherent electromechanical oscillatory dynamics observed in power systems. It is assumed that the feedback signals are obtained at locations away from the controller/actuator and transmitted over a communication network with the help of phasor measurement units (PMUs). Within the generic framework of networked control system (NCS), the evolution of power system dynamics and associated control actions through a communication network have been modeled as a hybrid system. The data delivery rate has been modeled as a stochastic process. The closed-loop stability analysis framework has considered the limiting probability of data dropout in computing the stability margin. The contribution is in quantifying allowable data-dropout limit for a specified closed loop performance. The research findings are useful in specifying the requirement of communication infrastructure and protocol for operating future smart grids.

Text
06813688 - Version of Record
Available under License Creative Commons Attribution.
Download (3MB)

More information

e-pub ahead of print date: 9 May 2014
Published date: 1 January 2015
Keywords: Cyber physical energy network, damping control, Kalman filtering, linear quadratic Gaussian (LQG), networked control systems (NCS), packet-drop, phasor measurement units (PMUs), smart grid, stochastic stability, thyristor controlled series capacitor (TCSC)

Identifiers

Local EPrints ID: 431016
URI: http://eprints.soton.ac.uk/id/eprint/431016
ISSN: 1949-3053
PURE UUID: e8ca8da1-8b2e-4d6b-baef-4d84a16f051e
ORCID for Abhinav Kumar Singh: ORCID iD orcid.org/0000-0003-3376-6435

Catalogue record

Date deposited: 21 May 2019 16:30
Last modified: 16 Mar 2024 04:40

Export record

Altmetrics

Contributors

Author: Abhinav Kumar Singh ORCID iD
Author: Ravindra Singh
Author: Bikash C. Pal

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×