Technologies for energy storage-Present and future: flow batteries

Price, Anthony

doi:10.1109/pess.2000.868758

Cited by 15 publications

(6 citation statements)

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“…Representative technologies include redox flow batteries (Bartolozzi, 1989;Price, 2000), sodium sulfur (NaS) batteries (Oshima et al, 2005), lead acid batteries (EPRI, 2003), flywheels (Lazarewicz, 2005), pumped hydroelectric storage, and compressed air energy storage (CAES). Battery and flywheel technologies are geographically less constrained than hydroelectric storage or CAES.…”

Section: Introductionmentioning

confidence: 99%

Economics of electric energy storage for energy arbitrage and regulation in New York

Walawalkar

Apt

Mancini³

2007

Energy Policy

417

199

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Section: Introductionmentioning

confidence: 99%

Economics of electric energy storage for energy arbitrage and regulation in New York

Walawalkar

Apt

Mancini³

2007

Energy Policy

417

199

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“…The electrolytes are separated by a polymer membrane that only allows the interchange of positive sodium ions [19,30,85]. It provides a duty cycle of 10 h [93]. In the negative electrode, dissolved sodium particles (S 4 2À ) in the polysulfide electrolyte are reduced to sulfide ions (S 2 2À ).…”

Section: Electrochemical Batteriesmentioning

confidence: 99%

Rechargeable lithium batteries for energy storage in smart grids

Zaghib

Mauger²,

Julien³

2015

Rechargeable Lithium Batteries

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“…Power density and circle life of SC are high, but the energy density is low [13,14], so high frequency power signal from D4 to D7 after wavelet decomposition is absorbed by BESS with the characteristics of higher capacity and slower response speed, the remainder and the high frequency power part from D1 to D3 are sent to super capacitors with its characteristics of smaller capacity and faster response speed to quickly carry out the filtering process. The structure diagrams of a hybrid energy storage system based on BESS and SC is shown in Figure 11.…”

Section: The Structure Of the Power Smoothing Model Based On Hybrid Ementioning

confidence: 99%

“…This is a kind of good energy storage component between traditional physical capacitors and batteries with some advantages such as high power density, long discharge cycle life, short charging time, long storage life and high reliability, etc., but its main technical difficulty is related to an insufficient high compression capacity. In recent years, the most widely used energy storage technology is electrochemical energy storage, especially in small distributed power generation systems [13,14].…”

Section: Introductionmentioning

confidence: 99%

A Power Smoothing Control Strategy and Optimized Allocation of Battery Capacity Based on Hybrid Storage Energy Technology

et al. 2012

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Wind power parallel operation is an effective way to realize the large scale use of wind power, but the fluctuations of power output from wind power units may have great influence on power quality, hence a new method of power smoothing and capacity optimized allocation based on hybrid energy storage technology is proposed in terms of the uncontrollable and unexpected characteristics of wind speed in wind farms. First, power smoothing based on a traditional Inertial Filter is introduced and the relationship between the time constant, its smoothing effect and capacity allocation are analyzed and combined with Proportional Integral Differential (PID) control to realize power smoothing control of wind power. Then wavelet theory is adopted to realize a multi-layer decomposition of power output in some wind farms, a power smoothing model based on hybrid energy storage technology is constructed combining the characteristics of the Super Capacitor (SC) and Battery Energy Storage System (BESS) technologies. The hybrid energy storage system is available for power fluctuations with high frequency-low energy and low frequency-high energy to achieve good smoothing effects compared with a single energy storage system. The power fluctuations filtered by the Wavelet Transform is regarded as the target value of BESS, the charging and discharging control for battery is completed quickly by Model Algorithm Control (MAC). Because of the influence of the inertia and the response speed of the battery, its actual output is not completely equal to the target OPEN ACCESSEnergies 2012, 5 1594 value which mainly reflects in high-frequency part, the difference part uses SC to compensate and makes the output of battery and SC closer to the target value on the whole. Compared with the traditional Inertial Filter and PID control method, the validity of the model was verified by simulation results. Finally under the premise of power grid standards, the corresponding capacity design had been given to reduce the size of the energy storage devices as far as possible, which has a certain practical engineering value.

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Technologies for energy storage-Present and future: flow batteries

Cited by 15 publications

References 0 publications

Economics of electric energy storage for energy arbitrage and regulation in New York

Economics of electric energy storage for energy arbitrage and regulation in New York

Rechargeable lithium batteries for energy storage in smart grids

A Power Smoothing Control Strategy and Optimized Allocation of Battery Capacity Based on Hybrid Storage Energy Technology

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