Evaluation of Reactive Power Support Capability of Wind Turbines

Chung, P. D.

doi:10.48084/etasr.3260

Cited by 7 publications

(5 citation statements)

References 18 publications

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“…To reduce the energy loss in the grid, wind turbines should operate at leading power factors such that they generate the reactive power to supply the demand of local load. From the reactive power capability of variable speed wind turbines [25], at the rated active power, it can operate with the leading power factor between 0.9 and 1.0. Hence, in this section, we only test two cases of power factor including 0.9 power factor and unity power factor.…”

Section: Other Power Factorsmentioning

confidence: 99%

Optimal placement of wind turbine in distribution grid to minimize energy loss considering power generation probability

Phan,

Trinh,

2024

Bulletin EEI

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This research proposes an algorithm to determine the optimal position of wind turbines in a distribution grid for minimizing its annual energy loss. In this paper, the probability distribution of power generation at each wind turbine node is considered and the nonsimultaneous occurrence of the power generation at wind turbine nodes is also interested. Moreover, we also consider the wind energy exploitability at each node in the grid. This algorithm is coded in MATLAB environment and it is verified via a sample IEEE 33 bus distribution grid with a sample data of power generation probability. The verifying results indicated that the optimal number of wind turbines at each node to obtain a minimal annual energy loss. Results also indicated that the node voltage is varied because of the change of power generation; however, the voltage at all nodes is in normal operation range and its median value is between about 1.01 pu to 1.05 pu. The power factor of wind turbines has an impact on the optimal number of wind turbines at nodes and the efficiency of wind turbine installation.

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Section: Other Power Factorsmentioning

confidence: 99%

Optimal placement of wind turbine in distribution grid to minimize energy loss considering power generation probability

Phan,

Trinh,

2024

Bulletin EEI

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“…The reactive power is regulated with the q component of current in the vector control method of BDFIG in the current study while the power winding flux λp is held constant throughout the simulation run. It is important to note that the reactive power regulation is necessary for injecting the controlled amount of reactive power to the grid during fault conditions to avoid disconnection of the machine from the rest of the network [26].…”

Section: Cw Current Controllermentioning

confidence: 99%

Dynamic response enhancement of BDFIG using vector control scheme based internal model c ontrol

Memon

Mustafa²,

Baloch³

et al. 2021

IJEECS

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Doublefed induction generator(DFIG) has shown tremendous success inwind turbines due to its flexibility and ability to regulate the active andreactive power. However, the presence of brushes and slip rings affects itsreliability, stability, and power quality. Furthermore, itdoes not providepromising outcomes in case of faults even in presence of the crowbar circuit.In contrast, thebrushless doubly fed induction generator(BDFIG) is a morereliable option for wind turbines than its mentioned counterpart due to theabsence of the brushes and slip rings. This research work as such attempts toimprove the dynamic performance of thevector control(VC)oriented powerwinding (PW) stator flux-based BDFIG by optimally selecting theproportional-integral(PI) gains throughinternalmodel control(IMC)approach. The proposed control scheme is utilized to regulate the speed,torque, and reactive power of the considered BDFIG independently. Contraryto the previous literature where the “trial and error method” is generallyutilized, the current research work uses the IMC for selecting the mostsuitable PI parameters, thus reduces the complexity, time consumption, anduncertainty in optimal selection. The considered BDFIG based wind turbinewith the proposed control scheme provides a better BDFIG control designwith an enhanced dynamic response as compared to that of the same withDFIG under identical operating conditions and system configurations.

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“…For FSWT, it consumes the reactive power from the grid because it is connected directly to the grid [21], and this can make the power loss of the grid increase. For VSWT, if a doubly feed induction generator (DFIG) is used, a power converter with 30% of the DFIG capacity must be installed in the rotor side [21]; and hence, the DFIG turbine is named partial-power-converter based WT (PCWT); by contrast, in the case of a synchronous generator, the converter rating is the same as the generator rating, and hence, it is called full power converter based WT (FCWT) [21]; a VSWT can operate in either the constant voltage mode (CVM) or the constant power factor mode (CPFM) [21]; and noted that the reactive power capacity limitation of PCWT is different from that of FCWT [22]. Practically, VSWT can withdraw a higher energy than FSWT.…”

Section: Introductionmentioning

confidence: 99%

Optimal connection of wind turbines to distribution grid to minimize power loss

Phan

Luu²

2023

IJECE

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<span lang="EN-US">This research aims to connect wind turbines to a distribution grid to minimize the power loss and to satisfy the grid’s normal operating condition. The proposed algorithm will determine optimal positions, optimal operation mode and wind turbine type. We must choose the best operation mode from available modes including the constant power factor mode and the constant voltage mode. According to the optimal operation mode, we decide the optimal setting data of wind turbine. This algorithm is coded in MATLAB software and implemented to IEEE 33-buses distribution grid. Noted that in this research, we tested two cases including the original IEEE 33-buses grid and its modification where the power system connected to this grid at multi-position. Results indicated that the proposed algorithm could determine the number of wind turbines, position, optimal operation mode, wind turbine type and the priority order of wind turbine installation to minimize power loss. Moreover, results were also compared to that of other algorithms.</span>

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Evaluation of Reactive Power Support Capability of Wind Turbines

Cited by 7 publications

References 18 publications

Optimal placement of wind turbine in distribution grid to minimize energy loss considering power generation probability

Optimal placement of wind turbine in distribution grid to minimize energy loss considering power generation probability

Dynamic response enhancement of BDFIG using vector control scheme based internal model c ontrol

Optimal connection of wind turbines to distribution grid to minimize power loss

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