Linear-quadratic-Gaussian control of line active-power flow

Abdullah Al-Digs; Sairaj V. Dhople; Yu Christine Chen

doi:10.1109/PESGM.2017.8274725

Linear-quadratic-Gaussian control of line active-power flow

Abdullah Al-Digs, Sairaj V. Dhople, Yu Christine Chen

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

The existing transmission network is becoming increasingly overloaded due to rapidly growing electricity demand, deregulation, and limited investment in transmission network expansion. This paper presents a state-space model-based control design for regulating line active-power flows in aC electric power systems using linear-quadratic-Gaussian (LQG) control. at its core, the proposed method relies on the linear mapping of nodal active- and reactive-power injections to active-power line flows. Building on this, we outline a combined linear-quadratic regulator and Kalman-filter design to optimally dispatch generators and controllable loads to maintain line flows while ensuring power balance. We demonstrate the utility of the proposed LQG controller with a representative congestion-management application.

Original language	English (US)
Title of host publication	2017 IEEE Power and Energy Society General Meeting, PESGM 2017
Publisher	IEEE Computer Society
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781538622124
DOIs	https://doi.org/10.1109/PESGM.2017.8274725
State	Published - Jan 29 2018
Event	2017 IEEE Power and Energy Society General Meeting, PESGM 2017 - Chicago, United States Duration: Jul 16 2017 → Jul 20 2017

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2018-January
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Other

Other	2017 IEEE Power and Energy Society General Meeting, PESGM 2017
Country	United States
City	Chicago
Period	7/16/17 → 7/20/17

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Linear-quadratic-Gaussian control of line active-power flow. / Al-Digs, Abdullah; Dhople, Sairaj V.; Chen, Yu Christine.

2017 IEEE Power and Energy Society General Meeting, PESGM 2017. IEEE Computer Society, 2018. p. 1-5 (IEEE Power and Energy Society General Meeting; Vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Al-Digs, A, Dhople, SV & Chen, YC 2018, Linear-quadratic-Gaussian control of line active-power flow. in 2017 IEEE Power and Energy Society General Meeting, PESGM 2017. IEEE Power and Energy Society General Meeting, vol. 2018-January, IEEE Computer Society, pp. 1-5, 2017 IEEE Power and Energy Society General Meeting, PESGM 2017, Chicago, United States, 7/16/17. https://doi.org/10.1109/PESGM.2017.8274725

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abstract = "The existing transmission network is becoming increasingly overloaded due to rapidly growing electricity demand, deregulation, and limited investment in transmission network expansion. This paper presents a state-space model-based control design for regulating line active-power flows in aC electric power systems using linear-quadratic-Gaussian (LQG) control. at its core, the proposed method relies on the linear mapping of nodal active- and reactive-power injections to active-power line flows. Building on this, we outline a combined linear-quadratic regulator and Kalman-filter design to optimally dispatch generators and controllable loads to maintain line flows while ensuring power balance. We demonstrate the utility of the proposed LQG controller with a representative congestion-management application.",

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AU - Dhople, Sairaj V.

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N2 - The existing transmission network is becoming increasingly overloaded due to rapidly growing electricity demand, deregulation, and limited investment in transmission network expansion. This paper presents a state-space model-based control design for regulating line active-power flows in aC electric power systems using linear-quadratic-Gaussian (LQG) control. at its core, the proposed method relies on the linear mapping of nodal active- and reactive-power injections to active-power line flows. Building on this, we outline a combined linear-quadratic regulator and Kalman-filter design to optimally dispatch generators and controllable loads to maintain line flows while ensuring power balance. We demonstrate the utility of the proposed LQG controller with a representative congestion-management application.

AB - The existing transmission network is becoming increasingly overloaded due to rapidly growing electricity demand, deregulation, and limited investment in transmission network expansion. This paper presents a state-space model-based control design for regulating line active-power flows in aC electric power systems using linear-quadratic-Gaussian (LQG) control. at its core, the proposed method relies on the linear mapping of nodal active- and reactive-power injections to active-power line flows. Building on this, we outline a combined linear-quadratic regulator and Kalman-filter design to optimally dispatch generators and controllable loads to maintain line flows while ensuring power balance. We demonstrate the utility of the proposed LQG controller with a representative congestion-management application.

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Linear-quadratic-Gaussian control of line active-power flow

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