Impact of superconductive magnetic energy storage on electric power transmission

Tam, Kwa-Sur; Kumar, Prem

doi:10.1109/60.105274

Cited by 26 publications

(8 citation statements)

References 12 publications

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“…Power quality improvements through correcting load voltage profiles, regulating frequency, or stabilizing long transmission lines are in the focus of [5] and [6]. A set of deeply researched storage application areas aims at shaping the load curve through peak shaving, load leveling or providing spinning reserves, e.g., in [7], [8], [9] and [10]. A storage application with a primarily economic objective is arbitrage accommodation.…”

Section: Related Workmentioning

confidence: 99%

Sensitivity analysis of the economic benefits from electricity storage at the end consumer level

Ahlert

Dinther

2009

2009 IEEE Bucharest PowerTech

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The article presents the results of simulations based on a linear optimization model of a storage system that calculates the economic benefits of distributed storage devices at the end consumer level by determining the cost optimal chargedischarge-schedule. The primary objective of the storage application is arbitrage accommodation.Particularly, parameters for a li-ion-based and a lead-acidbased storage system are simulated. All parameters of the model are varied and analyzed regarding their impact on the economic benefits. The simulation results quantify these impacts and show that the costs per storage capacity unit (EUR/kWh) and the efficiency degrees of the storage system have the highest impact. Additionally, the price spreads as well as the distribution of the market price curve in relation with the distribution of the consumer's load curve (demand) influence the achievable benefits significantly. Overall, the model reveals a saving potential of 17% on total cost for the reference case.Index Terms--Batteries, demand-side management, economic sensitivity analysis, energy storage

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Section: Related Workmentioning

confidence: 99%

Sensitivity analysis of the economic benefits from electricity storage at the end consumer level

Ahlert

Dinther

2009

2009 IEEE Bucharest PowerTech

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“…Lsmes dIsmes dt = Vsmes − RsmesIsmes and Ismes(0) = I ref (6) where I ref indicates the initial current, and Lsmes is the inductance of the superconducting coil, which is normally charged on an energy level E ref and does not output any active power. The losses of connection are gathered in a resistance Rsmes, which in practice can be neglected.…”

Section: Power System and Asmes Equationsmentioning

confidence: 99%

“…It is a bidirectional converter whose characteristics enable it to absorb sinusoidal network currents and exchange only reactive power with the network to improve voltage stability [4] . Many studies have been carried out and reported in the literature on the use of the superconducting magnetic energy storage (SMES) in a variety of voltage and phase stability applications, proposing diverse control schemes, and location techniques for voltage and angle oscillation control [5,6] .…”

Section: Introductionmentioning

confidence: 99%

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An advanced FMRL controller for FACTS devices to enhance dynamic performance of power systems

Abdellatif

Hamdaoui

Abid

2011

Int. J. Autom. Comput.

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The parameters of power system slowly change with time due to environmental effects or may change rapidly due to faults. It is preferable that the control technique in this system possesses robustness for various fault conditions and disturbances. The used flexible alternating current transmission system (FACTS) in this paper is an advanced super-conducting magnetic energy storage (ASMES). Many control techniques that use ASMES to improve power system stability have been proposed. While fuzzy controller has proven its value in some applications, the researches applying fuzzy controller with ASMES have been actively reported. However, it is sometimes very difficult to specify the rule base for some plants, when the parameters change. To solve this problem, a fuzzy model reference learning controller (FMRLC) is proposed in this paper, which investigates multi-input multi-output FMRLC for time-variant nonlinear system. This control method provides the motivation for adaptive fuzzy control, where the focus is on the automatic online synthesis and tuning of fuzzy controller parameters (i.e., using online data to continually learn the fuzzy controller that will ensure that the performance objectives are met). Simulation results show that the proposed robust controller is able to work with nonlinear and nonstationary power system (i.e., single machine-infinite bus (SMIB) system), under various fault conditions and disturbances.Keywords: Transient power system stability and robustness, single machine-infinite bus (SMIB) system, flexible alternating current transmission system (FACTS), advanced super-conducting magnetic energy storage (ASMES), fuzzy model reference learning controller (FMRLC), adaptive control, learning controller.

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“…Considering the applications of SMES system for HVDC transmission, the authors Tam et al in [6,7] used SMES coil in backto-back HVDC system and presented the benefi ts of SMES/dc link in terms of line loading, transmission reliability, indirect control of power in neighbouring lines and power fl ow control. The authors Johnson et al in reference [2] have included an SMES coil in superconducting LVDC mesh system to level generator loading and to provide added reliability in case of disturbances on the AC system.…”

Section: Introductionmentioning

confidence: 99%

Dynamic performance of HVDC system with detailed SMES coil - a comparison

Philipose

Manohar

Ahmed³

2011

International Conference on Sustainable Energy and Intelligent Systems (SEISCON 2011)

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Superconducting Magnetic Energy Storage (SMES) systems havefound a number of applications in power systems. The heart of the SMES system is the large superconducting coil. This is represented as a simple inductor for dynamic operation, but for transient analysis a more detailed model is used to predict its behaviour. This paper presents the comparison of the HVDC system performance with a detailed model and a simple model of SMES coil, for various transient conditions. These studies are carried out through PSCAD/ EMTDC environment.

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Impact of superconductive magnetic energy storage on electric power transmission

Cited by 26 publications

References 12 publications

Sensitivity analysis of the economic benefits from electricity storage at the end consumer level

Sensitivity analysis of the economic benefits from electricity storage at the end consumer level

An advanced FMRL controller for FACTS devices to enhance dynamic performance of power systems

Dynamic performance of HVDC system with detailed SMES coil - a comparison

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