Optimal controller design for non-affine nonlinear power systems with static var compensators for hybrid UAVs

Yanchu Li; Qingqing Ding; Shufang Li; Stanimir Valtchev

doi:10.26599/TST.2020.9010058

Optimal controller design for non-affine nonlinear power systems with static var compensators for hybrid UAVs

Yanchu Li, Qingqing Ding, Shufang Li, Stanimir Valtchev

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

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Abstract

A generalized non-affine nonlinear power system model is presented for a single machine bus power system with a Static Var Compensator (SVC) or State Var System (SVS) for hybrid Unmanned Aerial Vehicles (UAVs). The model is constructed by differential algebraic equations on the MATLAB-Simulink platform with the programming technique of its S-Function. Combining the inverse system method and the Linear Quadratic Regulation (LQR), an optimized SVC controller is designed. The simulations under three fault conditions show that the proposed controller can effectively improve the power system transient performance.

Original language	English
Article number	9515792
Pages (from-to)	196-206
Number of pages	11
Journal	Tsinghua Science and Technology
Volume	27
Issue number	1
DOIs	https://doi.org/10.26599/TST.2020.9010058
Publication status	Published - Feb 2022

Keywords

inverse system method
Linear Quadratic Regulation (LQR)
non-affine nonlinear control
power system
Static Var Compensator (SVC)
Unmanned Aerial Vehicles (UAV)

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10.26599/TST.2020.9010058Licence: CC BY

Optimal Controller Design for Non-Affine Nonlinear Power SystemsFinal published version, 8.72 MBLicence: CC BY

Cite this

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title = "Optimal controller design for non-affine nonlinear power systems with static var compensators for hybrid UAVs",

abstract = "A generalized non-affine nonlinear power system model is presented for a single machine bus power system with a Static Var Compensator (SVC) or State Var System (SVS) for hybrid Unmanned Aerial Vehicles (UAVs). The model is constructed by differential algebraic equations on the MATLAB-Simulink platform with the programming technique of its S-Function. Combining the inverse system method and the Linear Quadratic Regulation (LQR), an optimized SVC controller is designed. The simulations under three fault conditions show that the proposed controller can effectively improve the power system transient performance. ",

keywords = "inverse system method, Linear Quadratic Regulation (LQR), non-affine nonlinear control, power system, Static Var Compensator (SVC), Unmanned Aerial Vehicles (UAV)",

author = "Yanchu Li and Qingqing Ding and Shufang Li and Stanimir Valtchev",

note = "s Mr. S. Venkataiah is thankful to the University Grants Commission, New Delhi, for the award of UGC-BSR-RFSMS Junior Research Fellowship. Dr. S. Uthanna thankful to the University Grants Commission for the award of UGC-BSR Faculty Fellowship.",

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language = "English",

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AU - Valtchev, Stanimir

N1 - s Mr. S. Venkataiah is thankful to the University Grants Commission, New Delhi, for the award of UGC-BSR-RFSMS Junior Research Fellowship. Dr. S. Uthanna thankful to the University Grants Commission for the award of UGC-BSR Faculty Fellowship.

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N2 - A generalized non-affine nonlinear power system model is presented for a single machine bus power system with a Static Var Compensator (SVC) or State Var System (SVS) for hybrid Unmanned Aerial Vehicles (UAVs). The model is constructed by differential algebraic equations on the MATLAB-Simulink platform with the programming technique of its S-Function. Combining the inverse system method and the Linear Quadratic Regulation (LQR), an optimized SVC controller is designed. The simulations under three fault conditions show that the proposed controller can effectively improve the power system transient performance.

AB - A generalized non-affine nonlinear power system model is presented for a single machine bus power system with a Static Var Compensator (SVC) or State Var System (SVS) for hybrid Unmanned Aerial Vehicles (UAVs). The model is constructed by differential algebraic equations on the MATLAB-Simulink platform with the programming technique of its S-Function. Combining the inverse system method and the Linear Quadratic Regulation (LQR), an optimized SVC controller is designed. The simulations under three fault conditions show that the proposed controller can effectively improve the power system transient performance.

KW - inverse system method

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KW - power system

KW - Static Var Compensator (SVC)

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Optimal controller design for non-affine nonlinear power systems with static var compensators for hybrid UAVs

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