Sliding mode observers for a network of thermal and hydroelectric power plants

Gianrnario Rinaldi; Michele Cucuzzella; Antonella Ferrara

doi:10.1016/j.automatica.2018.09.014

Sliding mode observers for a network of thermal and hydroelectric power plants

Gianrnario Rinaldi^*, Michele Cucuzzella, Antonella Ferrara

^*Corresponding author for this work

Discrete Technology and Production Automation

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

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Abstract

This paper deals with the design of a novel sliding mode observer-based scheme to estimate and reconstruct the unmeasured state variables in power networks including hydroelectric power plants and thermal power plants. The proposed approach reveals to be flexible to topological changes to power networks and can be easily updated only where changes occur. The discussed numerical simulations validate the effectiveness of the proposed estimation scheme. (C) 2018 Elsevier Ltd. All rights reserved.

Original language	English
Pages (from-to)	51-57
Number of pages	7
Journal	Automatica
Volume	98
DOIs	https://doi.org/10.1016/j.automatica.2018.09.014
Publication status	Published - Dec-2018

Keywords

Sliding mode
Observers
Power systems
Large-scale systems
State estimation
Hydrothermal power systems
UNKNOWN INPUT OBSERVERS
LOAD-FREQUENCY CONTROL
FAULT RECONSTRUCTION
DESIGN

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Sliding mode observers for a network of thermal and hydroelectric power plantsFinal publisher's version, 965 KBLicence: Taverne

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title = "Sliding mode observers for a network of thermal and hydroelectric power plants",

abstract = "This paper deals with the design of a novel sliding mode observer-based scheme to estimate and reconstruct the unmeasured state variables in power networks including hydroelectric power plants and thermal power plants. The proposed approach reveals to be flexible to topological changes to power networks and can be easily updated only where changes occur. The discussed numerical simulations validate the effectiveness of the proposed estimation scheme. (C) 2018 Elsevier Ltd. All rights reserved.",

keywords = "Sliding mode, Observers, Power systems, Large-scale systems, State estimation, Hydrothermal power systems, UNKNOWN INPUT OBSERVERS, LOAD-FREQUENCY CONTROL, FAULT RECONSTRUCTION, DESIGN",

author = "Gianrnario Rinaldi and Michele Cucuzzella and Antonella Ferrara",

year = "2018",

month = dec,

doi = "10.1016/j.automatica.2018.09.014",

language = "English",

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TY - JOUR

T1 - Sliding mode observers for a network of thermal and hydroelectric power plants

AU - Rinaldi, Gianrnario

AU - Cucuzzella, Michele

AU - Ferrara, Antonella

PY - 2018/12

Y1 - 2018/12

N2 - This paper deals with the design of a novel sliding mode observer-based scheme to estimate and reconstruct the unmeasured state variables in power networks including hydroelectric power plants and thermal power plants. The proposed approach reveals to be flexible to topological changes to power networks and can be easily updated only where changes occur. The discussed numerical simulations validate the effectiveness of the proposed estimation scheme. (C) 2018 Elsevier Ltd. All rights reserved.

AB - This paper deals with the design of a novel sliding mode observer-based scheme to estimate and reconstruct the unmeasured state variables in power networks including hydroelectric power plants and thermal power plants. The proposed approach reveals to be flexible to topological changes to power networks and can be easily updated only where changes occur. The discussed numerical simulations validate the effectiveness of the proposed estimation scheme. (C) 2018 Elsevier Ltd. All rights reserved.

KW - Sliding mode

KW - Observers

KW - Power systems

KW - Large-scale systems

KW - State estimation

KW - Hydrothermal power systems

KW - UNKNOWN INPUT OBSERVERS

KW - LOAD-FREQUENCY CONTROL

KW - FAULT RECONSTRUCTION

KW - DESIGN

U2 - 10.1016/j.automatica.2018.09.014

DO - 10.1016/j.automatica.2018.09.014

M3 - Article

SN - 0005-1098

VL - 98

SP - 51

EP - 57

JO - Automatica

JF - Automatica

ER -

Sliding mode observers for a network of thermal and hydroelectric power plants

Abstract

Keywords

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