Participation of Doubly Fed Induction Generator Based Wind Turbine in Frequency Regulation with Frequency-linked Pricing

Verma, Yajvender Pal; Kumar, Ashwani

doi:10.1080/15325008.2012.707289

Cited by 31 publications

(28 citation statements)

References 13 publications

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“…For tuning of PI controller, the agents correspond to the controller gains and the performance is determined by fitness function given by Eq. (16). The solution of optimization problem is given by the positions of gains (masses).…”

Section: Gravitational Search Algorithmmentioning

confidence: 99%

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Optimal Generation Control of Interconnected Power System Including DFIG-Based Wind Turbine

Dahiya

Sharma

2015

IETE Journal of Research

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The impact of wind power with higher size of penetration becomes significant for frequency control problem due to its inconsistent nature and lack of frequency support from the wind turbine units. The frequency can be managed using enhanced control of inertia and droop characteristics. However, at very low and high speeds, the adjustment of pitch angle of wind turbine is necessary so that the aerodynamic power produced remains within the designed limits. This paper discloses the design of proportional integral (PI) control algorithm to adjust pitch angle of doubly fed induction generator (DFIG)-based wind turbine (WT) integrated with two-area-interconnected power system. Here, a heuristic gravitational search algorithm (GSA) is employed to optimize the gains of PI controllers used for pitch angle adjustment and governor speed control of wind turbine, frequency regulation, and tie-line power flow control. The influence of optimal gains by GSA is compared with genetic algorithm (GA) and ant colony optimization (ACO) approaches. Finally, the effectiveness of GSA-optimized controllers is demonstrated in terms of reduced settling time, overshoot, eigenvalues, and oscillations. The competency of proposed controller is also studied by considering the variation of wind power source from 10% to 40% in the power system and also the real-time physical constraints like generation rate, time delay, and governor deadband.

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Section: Gravitational Search Algorithmmentioning

confidence: 99%

“…Figure 2 shows the DFIGbased wind generator model used in the present study of frequency regulation. The transfer function of wind turbine is expressed by a first-order transfer function as [16] G wt ðsÞ D 1 1 C sT wt ;…”

Section: Agc-based Dfig Wind Turbine Modellingmentioning

confidence: 99%

Optimal Generation Control of Interconnected Power System Including DFIG-Based Wind Turbine

Dahiya

Sharma

2015

IETE Journal of Research

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“…The dynamic model, as shown in Figure , is used in this paper as discussed in References for investigating frequency regulation by using emulation control strategy. The wind turbine used in this work is a published model of a multimegawatt commercial flexible speed wind turbine as given in References …”

Section: Modeling Of Wind Generatormentioning

confidence: 99%

“…This additional loop is activated according to the change in the frequency. When the frequency deviates due to any load change, the rotor slows down and releases its kinetic energy to provide frequency support …”

Section: Modeling Of Wind Generatormentioning

confidence: 99%

“…A reference rotor speed is sustained, where the maximum power is obtained from the wind generator. The wind turbine mechanical power ( P mech ) is denoted by (21):

P_{mech} = ((), \frac{\frac{1}{2} ρ A_{r}}{S_{n}} C_{normalp . opt}) {ω_{s}}^{3},

where the density of the air in kg/m 3 is signified by ρ , A r represents the swept area in m 2 by a rotor, C p. opt denotes the C P curve maximum value at a pitch angle β = 0°, S n is the rating of WTU in megawatts, and ω s denotes the speed of the wind …”

Section: Modeling Of Wind Generatormentioning

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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Evaluation of CES and DFIG unit in AGC of realistic multisource deregulated power system

Dhundhara

Verma

2016

Int. Trans. Electr. Energ. Syst.

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Summary This article discusses evaluation of dynamic contribution of wind turbine unit of doubly fed induction generators (DFIGs) type and capacitive energy storage (CES) in frequency regulation services in 2‐area interconnected power system, having diverse thermal‐hydro‐gas (T‐H‐G) generating units in deregulated power environment. To obtain optimal dynamic responses of area's frequency oscillations following a small load perturbation, CES/DFIG units have been included in both control areas in coordination with thyristor controlled phase shifter (TCPS).The behavior of DFIGs to enhance dynamic performances of the proposed power system has been investigated by providing inertial support through modified inertial control scheme. The control scheme responds proportionally to frequency variations due to sudden load changes in the power system and uses wind turbine's kinetic energy to provide the inertial control support under several operational conditions. The gain parameters of the integral controller is obtained by using integral square error technique. The performance of the proposed system has been examined in different contract scenarios. Results show that the coordinated action of CES/DFIG units with TCPS unit provide optimal transient performance by arresting the initial dip in area frequencies as well as the power flow deviation in tie‐line between the 2 areas. Further, analysis reveals that CES unit response is better and quicker than DFIG unit to damp the system oscillations.

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Participation of Doubly Fed Induction Generator Based Wind Turbine in Frequency Regulation with Frequency-linked Pricing

Cited by 31 publications

References 13 publications

Optimal Generation Control of Interconnected Power System Including DFIG-Based Wind Turbine

Optimal Generation Control of Interconnected Power System Including DFIG-Based Wind Turbine

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

Evaluation of CES and DFIG unit in AGC of realistic multisource deregulated power system

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