Improving Fault Ride-Through Capability of Fixed-Speed Wind Turbine by Using Bridge-Type Fault Current Limiter

Firouzi, Mehdi; Gharehpetian, Gevork B.

doi:10.1109/tec.2013.2248366

Cited by 107 publications

(85 citation statements)

References 17 publications

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“…In addition, bridge vibration also causes the running vehicle to have a vertical acceleration and reduce the stability and safety of vehicles. When the vibration frequency of the vehicle is equal or similar to the natural frequency of the bridge, the resonance of bridges will be caused, which leads to the huge dynamic response of the bridge and damage of bridge structures [2][3][4][5][6]. In conclusion, bridge vibration caused by wind vibration and vehicle are two most important sources of vibration for the bridge.…”

Section: Introductionmentioning

confidence: 99%

“…With the progress of science and technology, more and more long, thin and flexible bridges are applied by engineers to practice. These bridges become increasingly sensitive to wind, which makes researches on the wind resistance vibration of bridges increasingly important [1][2][3]. When a vehicle passes by a bridge, the bridge not only bears static loads caused by its weight, but also sustains the moving loads of the vehicle and the inertia force caused by vehicle vibration to the bridge.…”

Section: Introductionmentioning

confidence: 99%

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Numerical computation for vibration characteristics of long-span bridges with considering vehicle-wind coupling excitations based on finite element and neural network models

Wang¹,

Jiang²

2017

J. vibroeng.

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Abstract. CA (Cellular Automaton) model was applied to the simulation of random traffic flow to develop a model considering the randomness of traffic flow and apply it to wind-vehicle-bridge coupling vibration. Finite element and neural network models were adopted respectively to numerically compute the vibration characteristics of bridges under wind and vehicle loads, verify the correctness of model. Subspace iteration method was used for the modal analysis of bridges. Natural frequencies of the top 8 orders were 0.21 Hz, 0.27 Hz, 0.36 Hz, 0.45 Hz, 0.56 Hz, 0.66 Hz, 0.87 Hz and 1.02 Hz respectively. The vibration frequency of the long-span bridge was consistent with the vibration characteristics of large-scale complex structures. Natural modes mainly reflected the torsion and bending of main beam and the swinging vibration of side and main towers. Fluctuation wind time-history presented periodic characteristics. The maximum and minimum values of fluctuation wind were about 20 m/s and -20 m/s respectively. The target and simulation values of power spectral density of wind speed were basically the same in change trend, which indicated that the fluctuation wind time-history computed in this paper was reliable. The model of dense traffic flow based on CA more truly described the running status like accelerating, decelerating and changing lanes of vehicles on the bridge, also contained the density information of vehicles and more truly reflected traffic characteristics. Vibration accelerations of the long-span bridge were symmetrically distributed. Vibration acceleration of central position in the left main span was the largest and near 50 cm/s 2 ; vibration acceleration on the main tower was the smallest. The curve of vibration displacement with considering wind loads presented some fluctuations, while the vibration displacement of bridges without considering wind loads was very smooth. In addition, the amplitude of vibration displacement without considering wind loads moved laterally towards the left compared with that with considering wind loads. Therefore, wind loads must be considered when the vibration characteristics of the long-span bridge were computed. Otherwise, the accuracy of computational results would be reduced. It only took 0.5 hours to use neural network to predict the vibration acceleration of the long-span bridge. In the case of the same computer performance, it took 5 hours to use finite element model to predict the vibration acceleration of the long-span bridge. The advantage of neural network model in predicting the performance of large-scale complex structures like a long-span bridge could be obviously found. In the future, we will consider using neural network model to systematically study and optimize the long-span bridge.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Numerical computation for vibration characteristics of long-span bridges with considering vehicle-wind coupling excitations based on finite element and neural network models

Wang¹,

Jiang²

2017

J. vibroeng.

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“…However, the proposed structure includes complicated control strategy. Then, a transformer-type DC reactor including a DC bias source, damping resistor and an IGBT switch in its secondary side is proposed [9][10][11]. This structure has less voltage drop in normal condition and a it has simple and reliable control strategy, but its switching overvoltage and power losses during the fault is not acceptable.…”

Section: Introductionmentioning

confidence: 99%

Thyristor-Controlled AC Reactor Based Fault Current Limiter for Distribution Network Stability Enhancement

Radmanesh¹,

Fathi²,

Gharehpetian³

2016

Journal of Electrical Engineering and Technology

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-Recently, various types of Solid State Fault Current Limiters (SSFCLs) have been proposed. These SSFCLs can improve the voltage quality, decrease the transmission losses, and also can enhance the distribution network stability but there are some practical problems with these FCLs. This paper proposes a modified FCL with focusing on the components optimization, efficiency improvement and reducing the cost. The suggested FCL uses a series AC reactor with controllable power electronic switches named Thyristor-Controlled AC Reactor (TCAR) which is connected in series with the feeder to limit the fault current and avoid fault current problems, which impairs overall distribution network reliability. The influence of TCAR on the fault current is analyzed using analytical, simulation and laboratory tests. The performance of the proposed TCAR in the simple distribution network is examined. The simulation and experimental results are in a good agreement with together and show the proper operation of the proposed TCAR during the normal and fault operation modes.

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“…These methods are different types of the FCLs [8][9][10], energy storage structures ] 11 [ , static synchronous compensator (STATCOM) [7], distributed constant power loads (CPLs) [5], dynamic voltage restorer (DVR) [12], series dynamic braking resistor (SDBR) [13], unified power quality conditioner (UPQC) [14], capacitor banks [15], static VAR compensator (SVC) [16] and unified power flow controller (UPFC) [17].…”

Section: Introductionmentioning

confidence: 99%

Fault ride through improvement of fixed speed wind turbine using CR-FCL with its modified control strategy

Naderi

Negnevitsky

Jalilian

et al. 2016

2016 Australasian Universities Power Engineering Conference (AUPEC)

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Abstract-This paper proposes a controllable resistive type fault current limiter (CR-FCL) with its modified control strategy to improve fault ride-through capability (FRT) of fixed speed wind turbine (FSWT). Investigated system includes squirrel cage induction generator, the CR-FCL, and the FSWT connected to infinite bus through double-circuit transmission line. The CR-FCL is located in beginning of the parallel line. The proposed structure with its modified control method inserts an optimum value of resistance during fault to achieve maximum FRT capability. It will be shown that this optimum value depends on fault location and pre-fault active power. Two different wind speeds will be applied to the investigated system, which cause two various output powers. Then, it will be proved that each condition needs its own optimum resistance during the fault to achieve the maximum FRT capability of the FSWT. PSCAD/EMTDC is utilised to show accuracy of the proposed scheme and analytical analysis.Index Terms--fault current limiter, fixed speed wind turbine, fault ride through, optimum resistance, fault location, wind speed;

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Improving Fault Ride-Through Capability of Fixed-Speed Wind Turbine by Using Bridge-Type Fault Current Limiter

Cited by 107 publications

References 17 publications

Numerical computation for vibration characteristics of long-span bridges with considering vehicle-wind coupling excitations based on finite element and neural network models

Numerical computation for vibration characteristics of long-span bridges with considering vehicle-wind coupling excitations based on finite element and neural network models

Thyristor-Controlled AC Reactor Based Fault Current Limiter for Distribution Network Stability Enhancement

Fault ride through improvement of fixed speed wind turbine using CR-FCL with its modified control strategy

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