Smart control techniques for design of TCSC and PSS for stability enhancement of dynamical power system

Gandhi, P. R.; Joshi, S. K.

doi:10.1016/j.asoc.2014.08.017

Cited by 16 publications

(11 citation statements)

References 28 publications

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“…Adaptive neuro-fuzzy inference system and large margin nearest neighbor approach is used for individual and coordinated design of the PSS and the TCSC controller in Gandhi and Joshi. 38 In that paper, different loading conditions and disturbance are also taken into consideration. The authors in Naresh et al 39 have proposed improved harmony search algorithm for coordinated design of multiple PSSs and TCSC controllers and compared with the methods of genetic algorithm, particle swarm optimization, harmony search algorithm, and bacterial swarm optimization.…”

Section: Discussionmentioning

confidence: 99%

“…Parameters of the PSS and the TCSC controller are optimized simultaneously in Shahgholian et al using velocity update relaxation particle swarm optimization and genetic algorithm. Adaptive neuro‐fuzzy inference system and large margin nearest neighbor approach is used for individual and coordinated design of the PSS and the TCSC controller in Gandhi and Joshi . In that paper, different loading conditions and disturbance are also taken into consideration.…”

Section: Introductionmentioning

confidence: 99%

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A frequency domain model-based design of PSS and TCSC controller for damping the small signal oscillations in the power system

Salgotra

Pan

2018

Int Trans Electr Energ Syst

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Summary For improvement of the operation and control of the power system, the flexible AC transmission system devices are significantly used. This paper proposes a model‐based frequency response matching technique for designing a lead‐lag power system stabilizer and a thyristor controlled series capacitor controller to improve the small signal stability. The method relies on development of an appropriate reference model, based on the desired specifications that can be attainable by the system dynamics. The unknown controller parameters are obtained by the frequency response matching between the closed‐loop control system and the reference model. The efficacy of the proposed controllers is examined on an unstable test power system taken from the literature. Improvement of the damping factor and the other performance indices shows robustness and effectiveness of the proposed controllers for stabilizing the power system oscillations in comparison with some design methods prevalent in the literature. It is illustrated through rigorous simulation that the proposed controller works successfully for stabilizing the power system over a wide unstable operating conditions and perturbed system models.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A frequency domain model-based design of PSS and TCSC controller for damping the small signal oscillations in the power system

Salgotra

Pan

2018

Int Trans Electr Energ Syst

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“…A coordinated controller of PSS and SSSC is presented in Khadanga and Satapathy in order to explore the controller parameters by using hybrid particle swarm optimization (PSO) and gravitational search algorithm (GSA) algorithm. Coordinated structure design of TCSC and PSS has been considered in previous studies . Bacterial foraging algorithm and neuro‐fuzzy inference system in Gandhi and Joshi are connected to optimize the parameters of controller of TCSC and PSS.…”

Section: Introductionmentioning

confidence: 99%

“…Coordinated structure design of TCSC and PSS has been considered in previous studies. [20][21][22][23] Bacterial foraging algorithm 20,21 and neuro-fuzzy inference system in Gandhi and Joshi 22 are connected to optimize the parameters of controller of TCSC and PSS. The main purpose in Tripathy and Mishra 20 is to exploit the loading margin inside the system prior to the amount of the Hopf Bifurcation.…”

mentioning

confidence: 99%

Modified whale optimization algorithm for coordinated design of fuzzy lead‐lag structure‐based SSSC controller and power system stabilizer

Sahu

Hota

Panda

2018

Int Trans Electr Energ Syst

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Summary In this paper, a new fuzzy lead‐lag controller for a coordinated structure combining static synchronous series compensator and power system stabilizer is designed to improve the power system stability. The controller parameters are optimized by using a modified whale optimization algorithm (MWOA). The newly proposed MWOA attains a suitable balance among exploration and exploitation phases of WOA. This potential of this MWOA is certified by means of utilizing the benchmark functions and by further comparing with that of a few heuristic algorithms such as whale optimization algorithm, fast evolutionary programming algorithm, gravitational search algorithm, differential evolution, and particle swarm optimization. Here, the MWOA technique is utilized to tune the parameters of the proposed controller. The controller is tested under various loading conditions as well as system configurations such as single‐machine infinite bus system and multimachine power system. Finally, the simulation results so obtained using the designed controller under different disturbance conditions are contrasted with that of the conventional lead‐lag structure controller.

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“…There have been many studies on TCSC for stability in single‐ or multiple‐machine power systems . But generally, these studies are focused on stability of power systems, but power flow calculations of the whole power system are skipped.…”

Section: Introductionmentioning

confidence: 99%

A robust power flow model for active power flow control via thyristor‐controlled series compensator

Yalçın

2016

IEEJ Transactions Elec Engng

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In this paper, a new power flow model for active power flow control through a thyristor-controlled series compensator (TCSC) in an AC network system is proposed. The proposed power flow model is based on the Newton-Raphson method. In this model, TCSC's admittance effect is included as a state variable into the Jacobian matrix to avoid the divergence problem. Unlike similar studies in the literature, TCSC's admittance is ignored in the bus admittance matrix, and the need for rebuilding the bus admittance matrix in each power flow iteration caused by the change of TCSC's admittance is prevented. So, faster convergence for power flow calculation is achieved. For this aim, new power equations are obtained. Also, in the proposed approach, we need not consider each terminal of TCSC as an individual bus in the power flow calculation. Thus, increasing the Jacobian and bus admittance matrixes sizes caused by the total bus number is prevented. The proposed approach is tested on an IEEE 57-bus test system. The obtained results prove that this approach provides efficient, reliable, and fast convergence.

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Smart control techniques for design of TCSC and PSS for stability enhancement of dynamical power system

Cited by 16 publications

References 28 publications

A frequency domain model-based design of PSS and TCSC controller for damping the small signal oscillations in the power system

A frequency domain model-based design of PSS and TCSC controller for damping the small signal oscillations in the power system

Modified whale optimization algorithm for coordinated design of fuzzy lead‐lag structure‐based SSSC controller and power system stabilizer

A robust power flow model for active power flow control via thyristor‐controlled series compensator

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