A Voltage and Frequency Control Strategy for Stand-Alone Full Converter Wind Energy Conversion Systems

Asensio, Andrés Peña; Arnaltes, Santiago; Rodriguez-Amenedo, José Luis; Plaza, Manuel García; Carrasco, J. Eloy-Garcia; Morenas, Jaime Manuel Alonso-Martínez de las

doi:10.3390/en11030474

Cited by 20 publications

(6 citation statements)

References 33 publications

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“…colorblue In this manuscript, the asterisk sign (*) next to a variable means "reference value". Modeling WECS with full-scale converters has also been covered in a number of articles [57][58][59][60][61][62][63][64][65].…”

Section: Variable-speed Wind Turbinesmentioning

confidence: 99%

Provision of Frequency Response from Wind Farms: A Review

et al. 2021

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Renewable sources of energy play a key role in the process of decarbonizing modern electric power systems. However, some renewable sources of energy operate in an intermittent, non-dispatchable way, which may affect the balance of the electrical grid. In this scenario, wind turbine generators must participate in the system frequency control to avoid jeopardizing the transmission and distribution systems. For that reason, additional control strategies are needed to ensure the frequency response of variable-speed wind turbines. This review article analyzes diverse control strategies at different levels which are aimed at contributing to power balancing and system frequency control, including energy storage systems.

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Section: Variable-speed Wind Turbinesmentioning

confidence: 99%

Provision of Frequency Response from Wind Farms: A Review

et al. 2021

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“…From the desired three-phase voltage reference defined in Equation ( 28), we can observe that the electrical frequency is considered as an input for the Park's transformation (see Figure 3). This implies that if the controller makes its task, the voltage outputs in the load will be sinusoidal waves regardless of the load variations (linear or non-linear behavior) [50].…”

Section: Control Objectivementioning

confidence: 99%

Nonlinear Voltage Control for Three-Phase DC-AC Converters in Hybrid Systems: An Application of the PI-PBC Method

et al. 2020

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In this paper, a proportional-integral passivity-based controller (PI-PBC) is proposed to regulate the amplitude and frequency of the three-phase output voltage in a direct-current alternating-current (DC-AC) converter with an LC filter. This converter is used to supply energy to AC loads in hybrid renewable based systems. The proposed strategy uses the well-known proportional-integral (PI) actions and guarantees the stability of the system by means of the Lyapunov theory. The proposed controller continues to maintain the simplicity and robustness of the PI controls using the Hamiltonian representation of the system, thereby ensuring stability and producing improvements in the performance. The performance of the proposed controller was validated based on simulation and experimental results after considering parametric variations and comparing them with classical approaches.

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“…Some studies suggest that average wind speed and energy density probably do not change more than the inter-annual variability [21,22]. However, the nature of wind is intermittent, and wind energy led to difficult integration and reliability features, including complex technology and costly solutions [23][24][25]. In addition, the availability of resources for wind depends on the specific weather characteristics and its location [26,27].…”

Section: Introductionmentioning

confidence: 99%

Wind Generation Forecasting Methods and Proliferation of Artificial Neural Network: A Review of Five Years Research Trend

et al. 2020

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To sustain a clean environment by reducing fossil fuels-based energies and increasing the integration of renewable-based energy sources, i.e., wind and solar power, have become the national policy for many countries. The increasing demand for renewable energy sources, such as wind, has created interest in the economic and technical issues related to the integration into the power grids. Having an intermittent nature and wind generation forecasting is a crucial aspect of ensuring the optimum grid control and design in power plants. Accurate forecasting provides essential information to empower grid operators and system designers in generating an optimal wind power plant, and to balance the power supply and demand. In this paper, we present an extensive review of wind forecasting methods and the artificial neural network (ANN) prolific in this regard. The instrument used to measure wind assimilation is analyzed and discussed, accurately, in studies that were published from May 1st, 2014 to May 1st, 2018. The results of the review demonstrate the increased application of ANN into wind power generation forecasting. Considering the component limitation of other systems, the trend of deploying the ANN and its hybrid systems are more attractive than other individual methods. The review further revealed that high forecasting accuracy could be achieved through proper handling and calibration of the wind-forecasting instrument and method.

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A Voltage and Frequency Control Strategy for Stand-Alone Full Converter Wind Energy Conversion Systems

Cited by 20 publications

References 33 publications

Provision of Frequency Response from Wind Farms: A Review

Provision of Frequency Response from Wind Farms: A Review

Nonlinear Voltage Control for Three-Phase DC-AC Converters in Hybrid Systems: An Application of the PI-PBC Method

Wind Generation Forecasting Methods and Proliferation of Artificial Neural Network: A Review of Five Years Research Trend

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