Voltage and frequency stabilization control strategy of virtual synchronous generator based on small signal model

Zhang, Xin; Gong, Lijiao; Zhao, Xinyu; Li, Rongrong; Li, Yang; Wang, Bin

doi:10.1016/j.egyr.2023.03.071

Cited by 53 publications

(16 citation statements)

References 12 publications

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“…Renewable energy sources come in a variety of forms and are widely available. The most cutting-edge renewable energy sources among them are PV and WECS, which are frequently used in all systems [ 3 ]. All different types of DG units are integrated into a hybrid power system called a standalone microgrid to fully take advantage of both their complementary and distinctive attributes.…”

Section: Introductionmentioning

confidence: 99%

Hybrid optimal-FOPID based UPQC for reducing harmonics and compensate load power in renewable energy sources grid connected system

Devi,

Rao,

Kumar

et al. 2024

PLoS ONE

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Integration of renewable energy sources (RES) to the grid in today’s electrical system is being encouraged to meet the increase in demand of electrical power and also overcome the environmental related problems by reducing the usage of fossil fuels. Power Quality (PQ) is a critical problem that could have an effect on utilities and consumers. PQ issues in the modern electric power system were turned on by a linkage of RES, smart grid technologies and widespread usage of power electronics equipment. Unified Power Quality Conditioner (UPQC) is widely employed for solving issues with the distribution grid caused by anomalous voltage, current, or frequency. To enhance UPQC performance, Fractional Order Proportional Integral Derivative (FOPID) is developed; nevertheless, a number of tuning parameters restricts its performance. The best solution for the FOPID controller problem is found by using a Coati Optimization Algorithm (COA) and Osprey Optimization Algorithm (OOA) are combined to make a hybrid optimization CO-OA algorithm approach to mitigate these problems. This paper proposes an improved FOPID controller to reduce PQ problems while taking load power into account. In the suggested model, a RES is connected to the grid system to supply the necessary load demand during the PQ problems period. Through the use of an enhanced FOPID controller, both current and voltage PQ concerns are separately modified. The pulse signal of UPQC was done using the optimal controller, which analyzes the error value of reference value and actual value to generate pulses. The integrated design mitigates PQ issues in a system at non-linear load and linear load conditions. The proposed model provides THD of 12.15% and 0.82% at the sag period, 10.18% and 0.48% at the swell period, and 10.07% and 1.01% at the interruption period of non-linear load condition. A comparison between the FOPID controller and the traditional PI controller was additionally taken. The results showed that the recommended improved FOPID controller for UPQC has been successful in reducing the PQ challenges in the grid-connected RESs system.

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Section: Introductionmentioning

confidence: 99%

Hybrid optimal-FOPID based UPQC for reducing harmonics and compensate load power in renewable energy sources grid connected system

Devi,

Rao,

Kumar

et al. 2024

PLoS ONE

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“…The wind turbine plays a crucial role in the wind energy conversion system (WECS) as it transforms kinetic energy into mechanical energy. This component is connected to the generator via a gearbox, which amplifies the rotational speed from the wind turbine to the electric generator [43][44][45][46][47][48][49][50][51]. To transmit the generator's output to the electrical grid, a control system is utilized [52,53].…”

Section: Wind Turbine (Hawt) Modellingmentioning

confidence: 99%

Enhancing the control of doubly fed induction generators using artificial neural networks in the presence of real wind profiles

Dardabi,

Djebli,

Chojaa

et al. 2024

PLoS ONE

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This study tackles the complex task of integrating wind energy systems into the electric grid, facing challenges such as power oscillations and unreliable energy generation due to fluctuating wind speeds. Focused on wind energy conversion systems, particularly those utilizing double-fed induction generators (DFIGs), the research introduces a novel approach to enhance Direct Power Control (DPC) effectiveness. Traditional DPC, while simple, encounters issues like torque ripples and reduced power quality due to a hysteresis controller. In response, the study proposes an innovative DPC method for DFIGs using artificial neural networks (ANNs). Experimental verification shows ANNs effectively addressing issues with the hysteresis controller and switching table. Additionally, the study addresses wind speed variability by employing an artificial neural network to directly control reactive and active power of DFIG, aiming to minimize challenges with varying wind speeds. Results highlight the effectiveness and reliability of the developed intelligent strategy, outperforming traditional methods by reducing current harmonics and improving dynamic response. This research contributes valuable insights into enhancing the performance and reliability of renewable energy systems, advancing solutions for wind energy integration complexities.

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“…Due to various drawbacks such as cost, less range, and a lack of charging infrastructure, electric vehicles present in the market possess less share. The researchers are researching how various bottlenecks (such as the batteries' energy density growing steadily) can be covered, e.g., Nissan has recently upgraded its model of EV with a range of 250 km, and the cost of the lithium-ion battery shows a 14% reduction per year 4 . There is a need for charging stations at various places along the roads for the charging infrastructure.…”

Section: Introductionmentioning

confidence: 99%

Hybrid multimodule DC–DC converters accelerated by wide bandgap devices for electric vehicle systems

Waheed,

Rehman,

Alsaif

et al. 2024

Sci Rep

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In response to the growing demand for fast-charging electric vehicles (EVs), this study presents a novel hybrid multimodule DC–DC converter based on the dual-active bridge (DAB) topology. The converter comprises eight modules divided into two groups: four Insulated-Gate Bipolar Transistor (IGBT) modules and four Metal–Semiconductor Field-Effect Transistor (MESFET) modules. The former handles high power with a low switching frequency, while the latter caters to lower power with a high switching frequency. This configuration leverages the strengths of both types of semiconductors, enhancing the converter’s power efficiency and density. To investigate the converter’s performance, a small-signal model is developed, alongside a control strategy to ensure uniform power sharing among the modules. The model is evaluated through simulation using MATLAB, which confirms the uniformity of the charging current provided to EV batteries. The results show an impressive power efficiency of 99.25% and a power density of 10.99 kW/L, achieved through the utilization of fast-switching MESFETs and the DAB topology. This research suggests that the hybrid multimodule DC–DC converter is a promising solution for fast-charging EVs, providing high efficiency, power density, and switching speed. Future studies could explore the incorporation of advanced wide bandgap devices to handle even larger power fractions.

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Voltage and frequency stabilization control strategy of virtual synchronous generator based on small signal model

Cited by 53 publications

References 12 publications

Hybrid optimal-FOPID based UPQC for reducing harmonics and compensate load power in renewable energy sources grid connected system

Hybrid optimal-FOPID based UPQC for reducing harmonics and compensate load power in renewable energy sources grid connected system

Enhancing the control of doubly fed induction generators using artificial neural networks in the presence of real wind profiles

Hybrid multimodule DC–DC converters accelerated by wide bandgap devices for electric vehicle systems

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