Frequency Regulation at a Wind Farm Using Time-Varying Inertia and Droop Controls

Wu, Yuan‐Kang; Yang, Wu-Han; Hu, Yi‐Liang; Dzung, Phan Quoc

doi:10.1109/tia.2018.2868644

Cited by 139 publications

(57 citation statements)

References 25 publications

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“…and 0.88 p.u., respectively. Furthermore, the setting of the rate limit of power is 0.45 p.u./s [20]. The detailed parameters of the DFIG are presented in Table 3.…”

Section: System Layoutmentioning

confidence: 99%

Fast Frequency Response of a Doubly-Fed Induction Generator for System Inertia Support

et al. 2020

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Converter-interfaced doubly-fed induction generators (DFIGs) can provide short-term frequency support (STFS) capability by releasing rotating kinetic energy. After arresting the frequency decrease, the rotor speed should return to its initial operating condition. During the rotor speed recovery process, special attention should paid to the performance of the rotor speed restoration duration and size of the second frequency drop (SFD). This paper suggests an enhanced STFS method of DFIGs to preserve better performance of the frequency nadir with less released rotating kinetic energy and accelerate the rotor speed restoration. To this end, a rotor speed-varying incremental power is proposed and is added to the maximum power tracking (MPT) operation reference during STFS, thereby releasing less rotating kinetic energy from DFIGs; afterward, the power reference smoothly decreases to the reference for MPT operation during the preset period. Test results clearly demonstrate that since even less rotating kinetic energy is utilized, the proposed method can preserve better performance of heightening the frequency nadir; furthermore, the proposed method accelerates the rotor speed restoration when the proposed strategy produces the same SFD as the conventional method, thereby improving the power grid resilience.

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“…and 0.88 p.u., respectively. Furthermore, the setting of the rate limit of power is 0.45 p.u./s [20]. The detailed parameters of the DFIG are presented in Table 3.…”

Section: System Layoutmentioning

confidence: 99%

Fast Frequency Response of a Doubly-Fed Induction Generator for System Inertia Support

et al. 2020

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“…The droop control for wind turbine is shown in Figure 12. In order to use the wind turbine in frequency regulation under higher penetration, the adaptive gains for both the inertia, and droop controller was proposed in [22] by Yuan-Kang Wu. The inertia and droop gains are altered from time to time depending on the frequency imbalance.…”

Section: Droop Control For Frequency Regulationmentioning

confidence: 99%

Large Scale Renewable Energy Integration: Issues and Solutions

et al. 2019

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In recent years, many applications have been developed for the integration of renewable energy sources (RES) into the grid in order to satisfy the demand requirement of a clean and reliable electricity generation. Increasing the number of RES creates uncertainty in load and power supply generation, which also presents an additional strain on the system. These uncertainties will affect the voltage and frequency variation, stability, protection, and safety issues at fault levels. RES present non-linear characteristics, which requires effective coordination control methods. This paper presents the stability issues and solutions associated with the integration of RES within the grid.

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“…Recently, the potential of variable speed wind turbine for improving the system frequency stability has been addressed by a variety of VICs [7]. The most common method is to employ a supplementary signal proportional to df/dt which is added to the reference of DFIG's active power control loop [8,9]. This derivative controller can emulate an inertial response for DFIG using the stored kinetic energy in the turbine rotor [10].…”

Section: Introductionmentioning

confidence: 99%

Coordinated Control of Doubley Fed Induction Generator Virtual Inertia and Power System Oscillation Damping Using Fuzzy Logic

Solat

Ranjbar

Mozafari

2019

IJE

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Doubly-fed induction generator (DFIG) based wind turbines with traditional maximum power point tracking (MPPT) control provide no inertia response under system frequency events. Recently, the DFIG wind turbines have been equipped with virtual inertia controller (VIC) for supporting power system frequency stability. However, the conventional VICs with fixed gain have negative effects on inter-area oscillations of regional networks. To cope with this drawback, this paper proposes a novel adaptive VIC to improve both the inter-area oscillations and frequency stability. In the proposed scheme, the gain of VIC is dynamically adjusted using fuzzy logic. The effectiveness and control performance of the adaptive fuzzy VIC is evaluated under different frequency events such as loss of generation, short circuit disturbance with load shedding. The simulation studies are performed on a generic two-area network integrated with a DFIG wind farm and the comparative results are presented between three cases: DFIG without VIC, DFIG with fixed gain VIC, and DFIG with adaptive fuzzy VIC. All the results confirm the proposed fuzzy VIC can improve both the inter-area oscillations and frequency stability.

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Frequency Regulation at a Wind Farm Using Time-Varying Inertia and Droop Controls

Cited by 139 publications

References 25 publications

Fast Frequency Response of a Doubly-Fed Induction Generator for System Inertia Support

Fast Frequency Response of a Doubly-Fed Induction Generator for System Inertia Support

Large Scale Renewable Energy Integration: Issues and Solutions

Coordinated Control of Doubley Fed Induction Generator Virtual Inertia and Power System Oscillation Damping Using Fuzzy Logic

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