Design and analysis of SSSC-based supplementary damping controller

Panda, Sidhartha; Swain, Sarat Chandra; Rautray, P. K.; Malik, Ranjan K.; Panda, Ganapati

doi:10.1016/j.simpat.2010.04.007

Cited by 75 publications

(38 citation statements)

References 20 publications

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“…It is almost similar to the power system used in [23]. The generator is equipped with hydraulic turbine and governor (HTG).…”

Section: Power System Structure and Modelingmentioning

confidence: 99%

“…In recent years, a number of various ingenious computation techniques namely: Simulated Annealing (SA) algorithm, Evolutionary Programming (EP), Genetic Algorithm (GA), Differential Evolution (DE) and Particle Swarm Optimization (PSO) have been employed by scholars to solve the different optimization problems of electrical engineering [8,[18][19][20][21][22][23][24][25][26][27][28][29]. But, the PSO technique can produce an excellent solution within shorter calculation time and stable convergence characteristic than other stochastic techniques [8].…”

Section: Introductionmentioning

confidence: 99%

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Transient Stability Analysis of Power System by Coordinated PSS-AVR Design Based on PSO Technique

Falehi¹,

Rostami²,

Mehrjadi³

2011

ENG

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In this paper, Power System Stabilizer (PSS) and Automatic Voltage Regulator (AVR) are coordinated to improve the transient stability of generator in power system. Coordinated design problem of AVR and PSS is formulated as an optimization problem. Particle Swarm Optimization (PSO) technique is an advanced robust search method by the swarming or cooperative behavior of biological populations mechanism. The performance of PSO has been certified in solution of highly non-linear objectives. Thus, PSO technique has been employed to optimize the parameters of PSS and AVR in order to reduce the power system oscillations during the load changing conditions in single-machine, infinite-bus power system. The results of nonlinear simulation suggest that, by coordinated design of AVR and PSS based on PSO technique power system oscillations are exceptionally damped. Correspondingly, it's shown that power system stability is superiorly enhanced than the uncoordinated designed of the PSS and the AVR controllers.

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“…It is almost similar to the power system used in [23]. The generator is equipped with hydraulic turbine and governor (HTG).…”

Section: Power System Structure and Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Transient Stability Analysis of Power System by Coordinated PSS-AVR Design Based on PSO Technique

Falehi¹,

Rostami²,

Mehrjadi³

2011

ENG

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show abstract

“…To keep the capacitor charged and to provide transformer and VSC losses, a small active power is drawn from the line. As presented by authors [11][12][13][14] VSC using IGBT-based PWM inverters is used in the present study. The machine speed is determined by the machine Inertia constant and by the difference between the mechanical torque, resulting from the applied mechanical power, and the internal electromagnetic torque and so the responses are obtained considering the inertia.…”

Section: Modeling Of Static Synchronous Series Compensator (Sssc)mentioning

confidence: 99%

“…The ability of SSSC to operate in capacitive as well as inductive mode makes it very effective in controlling the power flow [10]. An auxiliary controller can be superimposed on the power flow control function of the SSSC so as to improve power system oscillation stability by damping the modal oscillations [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

A multi-criteria optimization technique for SSSC based power oscillation damping controller design

Swain

Panda

Mahapatra

2016

Ain Shams Engineering Journal

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In this paper, Non-dominated Sorting Genetic Algorithm-II (NSGA-II) technique is applied to obtain Pareto optimal set of solutions pertaining to the tuning of lead-lag structured SSSC-based stabilizer. The design objective is to get maximum damping (performance) with minimum control effort (cost). Further a fuzzy based membership function value assignment method is employed to choose the best compromise solution. Simulation results are presented under various loading conditions and disturbances for various control signals to show the effectiveness and robustness of the proposed approach. The effectiveness and superiority of the proposed design approach are illustrated for both single machine infinite bus and multi-machine power systems by comparing the proposed approach with some recently published single objective and evolutionary multi-objective approaches such as Differential Evolution (DE), Particle Swarm Optimization (PSO) and Multi-objective Genetic Algorithm. It is observed that the proposed approach yields superior damping performance compared to some recently published approaches. Ó 2015 Faculty of Engineering, Ain Shams University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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“…The evolutionary methods comprise an approach to search for the optimum solutions via some form of directed random search process. A related characteristic of the evolutionary methods is that they search for solutions without previous problem knowledge [27].…”

Section: Ica Based Damping Controller Design For Hvdcmentioning

confidence: 99%

Damping of power system oscillations using imperialist competition algorithm in power system equipped by HVDC

Banaei

Toloue

Kazemi

et al. 2015

Ain Shams Engineering Journal

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In this paper, a linear model of power system equipped by HVDC parallel installed with HVAC is investigated. The HVDC system is mainly composed by voltage source converters (VSC-HVDC). So, there are four adjustable variables to control the power system characteristics. In this regards, one of these variables can be used as a supplementary controller input, in order to damp the oscillations efficiently. In this work the Singular Value Decomposition (SVD) method is used to realize the most effective control input of VSC-HVDC, with the aim of low frequency oscillation damping. Besides, optimum values for supplementary controller gains, are found using imperialist competition algorithm. To confirm strength of the proposed controller, the designed controller is tested in wide range of operating condition and compared with conventional scheme. The main advantage of the proposed procedure is greatly improving the dynamic response of the system. In addition, the overshoots, undershoots and the settling times are dramatically reduced by applying the proposed method. Simulation results show the good operation of proposed method so as to damp power system oscillations.Ó 2014 Production and hosting by Elsevier B.V. on behalf of Ain Shams University.

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Design and analysis of SSSC-based supplementary damping controller

Cited by 75 publications

References 20 publications

Transient Stability Analysis of Power System by Coordinated PSS-AVR Design Based on PSO Technique

Transient Stability Analysis of Power System by Coordinated PSS-AVR Design Based on PSO Technique

A multi-criteria optimization technique for SSSC based power oscillation damping controller design

Damping of power system oscillations using imperialist competition algorithm in power system equipped by HVDC

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