Power system stability enhancement using backstepping controller tuned by particle swarm optimization technique

Karimi, Ali; Al-Hinai, Amer; Schoder, Karl; Feliachi, A.

doi:10.1109/pes.2005.1489742

Cited by 22 publications

(13 citation statements)

References 9 publications

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“…The proposed approach proves to be more efficient in providing damping for the system compared with the GA-based method. Similarly, Karimi et al [197] have investigated the application of PSO to power system stability enhancement by tuning of a backstepping controller.…”

Section: G Power System Identification and Controlmentioning

confidence: 99%

Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems

Valle

Venayagamoorthy

Mohagheghi

et al. 2008

IEEE Trans. Evol. Computat.

1,991

851

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Many areas in power systems require solving one or more nonlinear optimization problems. While analytical methods might suffer from slow convergence and the curse of dimensionality, heuristics-based swarm intelligence can be an efficient alternative. Particle swarm optimization (PSO), part of the swarm intelligence family, is known to effectively solve large-scale nonlinear optimization problems. This paper presents a detailed overview of the basic concepts of PSO and its variants. Also, it provides a comprehensive survey on the power system applications that have benefited from the powerful nature of PSO as an optimization technique. For each application, technical details that are required for applying PSO, such as its type, particle formulation (solution representation), and the most efficient fitness functions are also discussed.Index Terms-Classical optimization, particle swarm optimization (PSO), power systems applications, swarm intelligence.

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Section: G Power System Identification and Controlmentioning

confidence: 99%

Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems

Valle

Venayagamoorthy

Mohagheghi

et al. 2008

IEEE Trans. Evol. Computat.

1,991

851

View full text Add to dashboard Cite

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“…Note that in [9], nonlinear system dynamics are represented by a * Correspondence: hyousef@squ.edu.om linearized model with uncertainty approximated by a norm-bounded form. Without such approximation, many works exist for nonlinear excitation control as follows: fuzzy-logic control was used in [10], adaptive control was presented in [11], adaptive fuzzy PSS was given in [12] while [13] deals with feedback linearization, an energy-shaping technique was proposed in [14] while [15,16] presented back-stepping and sliding mode methods, and application of wavelet networks to power system stabilizer design was presented in [17].…”

Section: Introductionmentioning

confidence: 99%

Wide-range reliable stabilization of time-delayed power systems

Soliman

Benzaouia

Yousef³

2016

Turk J Elec Eng & Comp Sci

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Steam valve control is usually discarded in power system stability due to belief in its slow response. The present manuscript makes use of it as a backup control in the case of failure of the main fast excitation control. The model describing system dynamics as a function of the two controllers, with wide range loading conditions, is derived in a norm-bounded format. Linear matrix inequalities are derived as a sufficient condition to obtain reliable controllers that provide good oscillation damping when both controllers are sound or even in the case of failure of either one. The design scheme is robust in the sense that it keeps reliable stability against wide load changes as well. A single machine infinite bus system is presented to illustrate the proposed design procedure and exhibit its performance. Results of excitation and governor controller testing show that the desired performance could be fulfilled from light load to heavy load conditions. System performance shows a remarkable improvement of dynamic stability by obtaining a well-damped oscillation time response even in the case of failure of either controller. Extension of the proposed controller to multiarea load-frequency control with time delay is also presented.

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“…The control approach for this system is developed by combining backstepping observer with adaptive and sliding mode controller. Backstepping approach is also proposed to design controller for electro-hydraulic active suspension system [8].…”

Section: Introductionmentioning

confidence: 99%

Backstepping design for position tracking control of nonlinear system

Rozali

Rahmat

Husain

2012

2012 IEEE International Conference on Control System, Computing and Engineering

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In ordinary feedback-based systems, the nonlinearities existing in the system is eliminated by using linearization method. However, backstepping method allows additional nonlinearities to be created and introduced to the control process so that the undesirable nonlinearities can be cancelled out from the system. In this work, electrohydraulic actuator system is taken as a numerical example. Backstepping controller is designed for the system without disturbance and with disturbance. The performance of the designed controller to the system without and with disturbance is observed through the tracking error.

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Power system stability enhancement using backstepping controller tuned by particle swarm optimization technique

Cited by 22 publications

References 9 publications

Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems

Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems

Wide-range reliable stabilization of time-delayed power systems

Backstepping design for position tracking control of nonlinear system

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