Modification of DFIG's Active Power Control Loop for Speed Control Enhancement and Inertial Frequency Response

Ashouri‐Zadeh, Alireza; Toulabi, Mohammadreza; Bahrami, Shahab; Ranjbar, Ali Mohammad

doi:10.1109/tste.2017.2710624

Cited by 34 publications

(17 citation statements)

References 21 publications

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“…Hence, the total power demand in both areas can be calculated according to (2) and (3), as given below: 6 6 6 6 6 6 6 6 4 3 7 7 7 7 7 7 7 7 7 5 ð36Þ…”

Section: Unilateral Transactionmentioning

confidence: 99%

“…In recent years, wind generation has been the fastest developing renewable source throughout the world . The wind turbine capacity of approximately 60 GW was installed globally in year 2015 that is more than 17% of the cumulative marketplace development to achieve 440 GW of total wind power generation . Renewable energy is expected to have a share of 10% of worldwide energy supply by 2020, and it will increment to as much as 66% by year 2050…”

Section: Introductionmentioning

confidence: 99%

“…To conquer the frequency stability tasks signified by low inertia response and spare power, RESs should adopt new frequency control methods to permit them to contribute to frequency regulation tasks. Researchers have suggested many approaches to employ the kinetic energy of the wind turbine operating with a doubly fed induction generator (DFIG) to respond to frequency variations caused by power disturbances , . R. Almeida et al, J. Mauricio et al, and P. Keung et al discussed how kinetic energy or the inertia response of DFIG‐type wind turbines can be utilized to stabilize the power system.…”

Section: Introductionmentioning

confidence: 99%

“…1 The wind turbine capacity of approximately 60 GW was installed globally in year 2015 that is more than 17% of the cumulative marketplace development to achieve 440 GW of total wind power generation. 2 Renewable energy is expected to have a share of 10% of worldwide energy supply by 2020, and it will increment to as much as 66% by year 2050. 3,4 However, the higher penetration of wind-based generators increases the regularity and severity of frequency events in the current power system, which raises concern for electrical power system operators and regulators.…”

Section: Introductionmentioning

confidence: 99%

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Grid frequency enhancement using coordinated action of wind unit with redox flow battery in a deregulated electricity market

Dhundhara

Verma

2020

Int Trans Electr Energ Syst

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Summary Growing electricity demand, environmental issues, and challenge to decrease dependence on fossil fuel resources have increased the inception of wind generation into the power system. However, higher penetration of wind‐based generating units into the existing grid can affect the working of the power system. Traditionally, a wind unit does not provide inertia, but collectively, wind units can have a notable impact on the dynamic performance of the power system. However, the battery energy storage systems have the potential to offer flexibility and ancillary supports to the power system. This article evaluates the impact of redox flow battery (RFB) in coordination with a doubly fed induction generator (DFIG)–based wind turbine unit (WTU) to enrich the dynamic performances of a multi‐source interconnected power system in a deregulated electricity market. The modified inertial control scheme is proposed for the DFIG unit that responds in the event of frequency deviation in the grid. The turbine sheds its kinetic energy and provides active power injection, thereby enhancing the frequency response of the system. The recently developed moth‐flame optimization (MFO) algorithm is employed for optimal tuning of the proportional‐integral (PI) controller and the speed regulator of a DFIG‐WTU. The simulation studies have been executed to analyze the impact of the RFB with WTU on the system frequency, tie‐line and different generating units power through a comparative study in terms of the settling time, and peak overshoot/undershoot in a deregulated electricity market. The analysis reveals that the WTU effectively contributes to sustaining the frequency and tie‐line power oscillations during abrupt load disturbances in the proposed power system. Moreover, the inclusion of RFB in coordination with the WTU helps to reduce the stress on a wind turbine during inertial control scheme. It can also reduce wind curtailments by absorbing excess power flowing through transmission lines, reduces wastage of green energy, and gives better dynamic response under different operating conditions of the deregulated electricity market.

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“…Hence, the total power demand in both areas can be calculated according to (2) and (3), as given below: 6 6 6 6 6 6 6 6 4 3 7 7 7 7 7 7 7 7 7 5 ð36Þ…”

Section: Unilateral Transactionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Grid frequency enhancement using coordinated action of wind unit with redox flow battery in a deregulated electricity market

Dhundhara

Verma

2020

Int Trans Electr Energ Syst

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“…Doubly-fed induction generator based wind turbines (DFIG-WTs), due to their high efficiency, variable-speed constant-frequency (VSCF) operation, bidirectional power flow regulation capability, and small power electronic converter size, are widely installed, which takes over 50% of the total number of wind turbines all over the world [1][2][3][4]. Different from a fully rated wind energy conversion system (WECS), which is usually based on a permanent magnet synchronous generator (PMSG), the stator of DFIG-WT is directly connected to the grid, while the rotor is fed by a back-to-back (BTB) converter [5].…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Fault-Tolerant Strategy for Severe Sensor Failure Scenarios in Late-Stage Offshore DFIG-WT

et al. 2017

Energies

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Abstract:As the phase current sensors and rotor speed/position sensor are prone to fail in the late stage of an offshore doubly-fed induction generator based wind turbine (DFIG-WT), this paper investigates a hybrid fault-tolerant strategy for a severe sensor failure scenario. The phase current sensors in the back-to-back (BTB) converter and the speed/position sensor are in the faulty states simultaneously. Based on the 7th-order doubly-fed induction generator (DFIG) dynamic state space model, the extended Kalman filter (EKF) algorithm is applied for rotor speed and position estimation. In addition, good robustness of this sensorless control algorithm to system uncertainties and measurement disturbances is presented. Besides, a single DC-link current sensor based phase current reconstruction scheme is utilized for deriving the phase current information according to the switching states. A duty ratio adjustment strategy is proposed to avoid missing the sampling points in a switching period, which is simple to implement. Furthermore, the additional active time of the targeted nonzero switching states is complemented so that the reference voltage vector remains in the same position as that before duty ratio adjustment. The validity of the proposed hybrid fault-tolerant sensorless control strategy is demonstrated by simulation results in Matlab/Simulink2017a by considering harsh operating environments.

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Adaptive Fuzzy Logic Controller for the Minimum Power Extraction Under Sensor-Less Control of Doubly Fed Induction Motor (DFIM) Feeding Pump Storage Turbine

Kumarsingh

Saxena

2018

Advances in Intelligent Systems and Computing

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Modification of DFIG's Active Power Control Loop for Speed Control Enhancement and Inertial Frequency Response

Cited by 34 publications

References 21 publications

Grid frequency enhancement using coordinated action of wind unit with redox flow battery in a deregulated electricity market

Grid frequency enhancement using coordinated action of wind unit with redox flow battery in a deregulated electricity market

A Hybrid Fault-Tolerant Strategy for Severe Sensor Failure Scenarios in Late-Stage Offshore DFIG-WT

Adaptive Fuzzy Logic Controller for the Minimum Power Extraction Under Sensor-Less Control of Doubly Fed Induction Motor (DFIM) Feeding Pump Storage Turbine

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