Operational aspects of superconductive magnetic energy storage (SMES)

Abdelsalam, M. K.; Boom, R.; Peterson, H. A.; Helfrecht, D.J.; Bratley, W.

doi:10.1109/tmag.1987.1065483

Cited by 16 publications

(7 citation statements)

References 1 publication

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“…Energy storages such as fuel cell, flywheel, battery, superconducting magnetic energy storage (SMES), which are able to supply and absorb active power rapidly [11], [12], have been highly expected as the most effective controllers of system frequency. Superconducting magnetic energy storage has been successfully applied to solve many problems in power systems such as an improvement of power system dynamics [13], [14], a load leveling [15], a frequency control in hybrid wind-diesel power systems [16]- [18]. However, SMES is very costly in comparison with the common energy storage such as battery.…”

Section: Introductionmentioning

confidence: 99%

Adaptive robust control design to enhance smart grid power system stabilization using wind characteristics in Indonesia

Herbandono

Nandar

2021

IJPEDS

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<span lang="EN-US">This paper is interested to study power system stability in smart grid power system using wind characteristic in south of Yogyakarta, Indonesia. To overcome the intermittent of wind characteristics, this paper presents adaptive robust control design to enhance power system stabilization. The online identification system is used in this research, which updated whenever the estimated model mismatch exceeds predetermined bounds. Then genetic algorithm (GA) is applied to re-tune parameters controller based on the estimated model. The structure of controller is proportional integral (PI) controller due to the most applicable in industry, simple structure, low cost and high reliability. Robustness of controller is guaranteed by taking system uncertainties into consideration. The performance of the proposed controller has been carried out in a hybrid wind-diesel power system in comparison with previous work controller. Simulation results confirm that damping effect of the proposed controllers are much better that of the conventional controllers against various operating.</span>

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Section: Introductionmentioning

confidence: 99%

Adaptive robust control design to enhance smart grid power system stabilization using wind characteristics in Indonesia

Herbandono

Nandar

2021

IJPEDS

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“…To overcome this problem, energy storage devices such as batteries, superconducting magnetic energy storage (SMES) systems, etc., which are able to supply and absorb active power rapidly [9,10], have been explored as one of the most effective control mechanisms of the system frequency. The SMES has been successfully applied to solve many problems in power systems, such as improvement of power system dynamics [11,12], frequency control in interconnected power systems [13,14], improvement of power quality [15], stabilization of subsynchronous oscillation in the turbine generator [16], load leveling,[17], etc. Especially, an application of SMES to control the frequency in a hybrid wind–diesel power system due to load changes has been presented in [18,19].…”

Section: Introductionmentioning

confidence: 99%

Design of a coordinated robust controller of SMES and blade pitch for smart‐grid power systems

Nandar

Hashiguchi

Goda

et al. 2012

IEEJ Transactions Elec Engng

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This paper presents the design of a coordinated superconducting magnetic energy storage (SMES) and blade pitch controller (BPC) to stabilize the frequency in a smart-grid power system. To compensate for such power variations, a SMES that is able to supply and absorb active power quickly can be applied to control the frequency fluctuation. The structure of the controller is that of a first-order lead-lag compensator. The robustness of the controller is guaranteed by applying an inverse additive perturbation to represent possible unstructured uncertainties in the power system such as variation of system parameters, generating and loading conditions, etc. Genetic algorithm (GA) is applied to solve and achieve the control parameters. Simulation studies have been done to show the control effect and robustness of the proposed SMES and blade pitch in comparison with SMES & Pitch against various disturbances. . His current research interests include power system stability and smart-grid power systems.

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“…[1,2]. Besides, the SMES has been applied to a load leveling [7], an improvement of transmission capacity [8], an enhancement of voltage stability [9,10], frequency stability [11], and improve the dynamic stability [6,9]. have been applied.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the results in References [5,6] demonstrate that the stabilizing control by SMES is remarkably superior to that of SVC. Besides, the SMES has been applied to a load leveling [7], an improvement of transmission capacity [8], an enhancement of voltage stability [9,10], frequency stability [11], and improve the dynamic stability [6,9]. Nevertheless, the SMES controllers in these works have been designed by the pole placement and the eigen-structure assignment at one operating condition.…”

Section: Introductionmentioning

confidence: 99%

Optimal least squares support vector machines for SMES controller design using wide area phasor measurements

Pahasa

Ngamroo

2011

Int Trans Elec Energy Syst

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SUMMARY In this paper, the least squares support vector machines (LS‐SVMs) based design of superconducting magnetic energy storage (SMES) controller is proposed for wide area stability control. The LS‐SVMs for SMES controllers are trained by local and inter‐area data based on synchronized phasor measurements considering time delay. A large amount of training data set of a multi‐machine power system is reduced by the measurement of similarity among samples. The LS‐SVM parameters and the similarity threshold are optimized by a particle swarm optimization. Subsequently, the redundant data in the training set can be discarded while the reduced data are the optimal support vectors in the LS‐SVM model. The LS‐SVM control signals can be adapted by various operating conditions and different disturbances. Simulation results in a six‐area West Japan interconnected power system demonstrate that the proposed LS‐SVM for SMES controller is robust to various disturbances under wide range of operating conditions in comparison to the conventional SMES. Copyright © 2011 John Wiley & Sons, Ltd.

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Operational aspects of superconductive magnetic energy storage (SMES)

Abstract: Applied Superconducti vi t y CenterThe SMES s i z e t o be added i n t h e f u t u r e t h e n becomes an e x t r a p o l a t e d s i z e f r o m t h e s i z e t h a t

Cited by 16 publications

References 1 publication

Adaptive robust control design to enhance smart grid power system stabilization using wind characteristics in Indonesia

Adaptive robust control design to enhance smart grid power system stabilization using wind characteristics in Indonesia

Design of a coordinated robust controller of SMES and blade pitch for smart‐grid power systems

Optimal least squares support vector machines for SMES controller design using wide area phasor measurements

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