This paper proposes a decentralized Second Order Sliding Mode (SOSM) control strategy for Automatic Generation Control (AGC) in power networks, where frequency regulation is achieved, and power flows are controlled towards their desired values. This work considers a power network partitioned into control areas, where each area is modelled by an equivalent generator including second order turbine-governor dynamics, and where the areas are nonlinearly coupled through the power flows. Asymptotic convergence to the desired state is established by constraining the state of the power network on a suitable sliding manifold. This is designed relying on stability considerations made on the basis of an incremental energy (storage) function. Simulation results confirm the effectiveness of the proposed control approach.

An energy function based design of second order sliding modes for Automatic Generation Control

Cucuzzella, Michele;Ferrara, Antonella;
2017-01-01

Abstract

This paper proposes a decentralized Second Order Sliding Mode (SOSM) control strategy for Automatic Generation Control (AGC) in power networks, where frequency regulation is achieved, and power flows are controlled towards their desired values. This work considers a power network partitioned into control areas, where each area is modelled by an equivalent generator including second order turbine-governor dynamics, and where the areas are nonlinearly coupled through the power flows. Asymptotic convergence to the desired state is established by constraining the state of the power network on a suitable sliding manifold. This is designed relying on stability considerations made on the basis of an incremental energy (storage) function. Simulation results confirm the effectiveness of the proposed control approach.
2017
Proceedings IFAC World Congress Toulouse, France
The AI, Robotics & Automatic Control category is concerned with resources on the research and techniques of artificial intelligence; that is, the creation of machines that exhibit characteristics of human intelligence (e.g., efficient representation of knowledge, reasoning, deduction, problem solving, heuristics, and analysis of contradictory or ambiguous information). Related AI technologies include expert systems, fuzzy systems, natural language processing, speech and pattern recognition, computer vision, decision-support systems, knowledge-bases, and neural networks. Robotics resources are concerned with the design, construction, and operation of robots. Automatic Control resources cover the design and development of regulating processes and systems that replace the necessity of human intervention. Topics include adaptive control, robust control, discrete-event control, dynamic control, fuzzy control, and optimal control. Cybernetics resources are concerned with the control and communication within and between artificial (machine) systems and living or natural systems.
Esperti anonimi
Inglese
contributo
IFAC Wold Congress
July 2017
Toulouse, France
Internazionale
ELETTRONICO
50
11613
11618
6
Elsevier B.V.
Decentralized control; Power systems stability; Sliding mode control; Stability of nonlinear systems; Control and Systems Engineering
http://www.journals.elsevier.com/ifac-papersonline/
none
Trip, Sebastian; Cucuzzella, Michele; Ferrara, Antonella; Persis, Claudio De
273
info:eu-repo/semantics/conferenceObject
4
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/1208226
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