Advanced control for wind energy conversion systems with flywheel storage dedicated to improving the quality of energy

Hamzaoui, Ihssen; Bouchafaa, Farid; Talha, Abdelaziz

doi:10.1109/irsec.2015.7454951

Cited by 6 publications

(9 citation statements)

References 11 publications

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“…The difference between the referential rotor flux ( φ ref ) and the estimated rotor flux ( φ est ) e φ is introduced into a two‐level hysteresis controller (Figure ) that indicates whether the flux needs to be increased (E φ = 1) or decreased (E φ = − 1) in order to control the rotor flux vector and keep its vector rotating in a circular path, as it is shown in Figure . While the difference between the referential torque (

{T_{em}}_{ref}

) and estimated electromagnetic torque ( T em ) e T is processed through a three‐level hysteresis controller (Figure ) that indicates whether the torque should be increased (E T = 1), maintained constant (E T = 0), or decreased (E T = −1) …”

Section: Classical Direct Torque Control Of the Dfigmentioning

confidence: 99%

Fuzzy 12 sectors improved direct torque control of a DFIG with stator power factor control strategy

Ayrir

Haddi

2019

Int Trans Electr Energ Syst

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Summary In this paper, an improved direct torque control (DTC) strategy based on a fuzzy inference system is proposed to control a doubly fed induction generator (DFIG)‐based wind energy conversion system (WECS). The proposed method is based on increasing the number of sectors to 12 instead of six in the classical DTC (C‐DTC), and the use of a fuzzy inference system to generate the optimal voltage vector to apply to the rotor side converter (RSC). The proposed method aims to reduce the flux and torque undulations which are considered the main disadvantage of the C‐DTC and to control the power factor at the stator terminals by generating the referential rotor flux from the referential reactive power. The effectiveness of the proposed strategy is well tested by the simulation. Moreover, a total harmonic distortion (THD) analysis was performed for the rotor and stator currents waveforms. The results show a considerable reduction of the undulations for both flux and torque, and a significant reduction of the THD.

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{T_{em}}_{ref}

Section: Classical Direct Torque Control Of the Dfigmentioning

confidence: 99%

Fuzzy 12 sectors improved direct torque control of a DFIG with stator power factor control strategy

Ayrir

Haddi

2019

Int Trans Electr Energ Syst

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“…The complexity of parallel hybrid designs is only increased when it is remembered that each generator must be controlled by some overarching, ideally autonomous, system that is sensitive to the various supply and demand scenarios that a grid may experience. See, for example, the work of Shankar and Mukherjee [19] and Hamzaoui et al [20]. The proposed system may be termed a "series" hybrid energy storage system.…”

Section: Series Hybrid Kinetic Energy Storage (Shykess)mentioning

confidence: 99%

“…Hydraulic pump/motor efficiencies (η P and η M , respectively) may be calculated using equations (19) and (20), respectively. These expressions are taken from the work of McCandlish and Dorey [38], who built upon the work of Wilson by introducing linearly variable loss coefficient expressions for flow (Q P/M , where subscripts here distinguish pump and motor modes of operation) and torque (T P/M ) calculations, thereby giving more realistic representations of volumetric and frictional losses in hydraulic machines, respectively.…”

Section: Comments On Turnaround Efficiency and A Case Study Applicatimentioning

confidence: 99%

A series hybrid “real inertia” energy storage system

Rouse

Garvey

Cárdenas

et al. 2018

Journal of Energy Storage

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The wide scale market penetration of numerous renewable energy technologies is dependent, at least in part, on developing reliable energy storage methods that can alleviate concerns over potentially interrupted and uncertain supplies. Many challenges need to be overcome, not least among them is allowing capacity for the wide range of time scales required to ensure grid stability. In thermal power plant, high frequency/short duration demand fluctuations, acting at the milliseconds to several seconds time scale, are addressed passively by the inertia of the grid. Here, grid inertia can be thought of as the mechanical inertia of spinning steel in steam and gas turbines. This allows time for active control measures to take effect at the tens of second to hours time scale and for the system to recover without a supply frequency deviation that is noticeable to the customer. It is of paramount importance that, as thermal plant is retired, renewable energy generation and storage systems account for the loss of this inertia. In the literature, strategies to address the loss of "real" inertia have often relied on emulation rather than actual replacement. The present work focuses on the preliminary development of a novel energy storage system that makes use of real inertia to address short term supply/demand imbalances while simultaneously allowing for extended depths of discharge. The concept looks to combine flywheel and compressed fluid energy stores in order to power a synchronous generator. By combining these energy storage technologies through a differential drive unit, DDU, it is anticipated that the benefits of high system inertia can be exploited in the short term while allowing energy to be continually extracted from the flywheel in the long term during storage discharge. The use of a DDU makes the present design particularly novel and distinct from other hybrid systems. In essence, this inclusion allows energy to be extracted entirely from the flywheel, inducing "real" inertia, or entirely from the secondary store, inducing "synthetic" inertia, or some combination of the two. Fundamental sizing calculations for a 50MW system with 20MWh of storage capacity are presented and used to design a suitable control system that allows for the operation of both primary flywheel and secondary compressed fluid energy stores. The transient behaviour of the system is simulated for several charge/discharge time profiles to demonstrate response stability for the system. Comments on system turnaround efficiency, which is dependent upon loading history but for the intended applications can be considered to be greater than 90% are also made here, along with a case study application to an isolated Californian solar powered grid.

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“…Wind energy has great application potential in energy structure transformation, global climate change, fossil fuel shortage, and power demand. It will be an inevitable energy development trend in the future to continue to expand the application of wind energy and connect it with the energy network [4,5]. As a kind of renewable energy technology, wind power generation technology is one of the main forms of wind energy utilization.…”

Section: Introductionmentioning

confidence: 99%

Modeling and simulation of wind turbine heat recycling system

et al. 2020

Therm sci

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The paper aims to discuss the power supply and heat supply system of wind turbine, promote the development of wind energy in heat recycling, and expand the application of renewable energy resources in replacing fossil energy. Starting from the construction of wind power heat storage system model, first, molten salt was selected as the fluid heat storage material. Based on the realization process of two-pot molten salt electrothermal transformation, the model of two-pot molten salt heat storage (MSHS) system was established. Second, based on the model of heat storage system, the high temperature MSHS wind power heating system was simulated by using the numerical simulation analysis method. The results showed that the simulation results of the thermal storage system model were highly consistent with the actual results, and the model was accurate and reliable, which was suitable for the simulation analysis of the thermal storage system. After a day of operation, the utilization rate of wind energy of the MSHS wind power heating system could reach more than 94%. The combination of the MSHS wind power system and regional heating had obvious effect on absorbing wind power, saving resources, and solving the problems of wind curtailment. In the MSHS wind power supply heating system, the configuration of MSHS significantly improved the utilization ratio of wind energy in the wind power generation system, even up to 100% at maximum. To sum up, the configuration of MSHS can absorb most of the wind energy generated on that day, thus improving the energy utilization ratio of the wind power generation system.

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Advanced control for wind energy conversion systems with flywheel storage dedicated to improving the quality of energy

Cited by 6 publications

References 11 publications

Fuzzy 12 sectors improved direct torque control of a DFIG with stator power factor control strategy

Fuzzy 12 sectors improved direct torque control of a DFIG with stator power factor control strategy

A series hybrid “real inertia” energy storage system

Modeling and simulation of wind turbine heat recycling system

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