Grid Integration of Wind Energy Conversion Systems

Harish, V. S. K. V.; Sant, Amit V.

doi:10.1007/698_2020_610

Cited by 11 publications

(5 citation statements)

References 39 publications

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“…This coefficient depends on both the blade pitch angle β and the tip-speed ratio λ, signifying the turbine's efficacy in transforming the wind's kinetic energy into mechanical energy. For β = β • = 0, the nonlinear dependency of the power coefficient C p on λ can be approximated by the following experimental expression, as described in [44,45]…”

Section: Mathematical Model Of a Wtmentioning

confidence: 99%

Robust Nonlinear Control of a Wind Turbine with a Permanent Magnet Synchronous Generator

Lúa¹,

Bianchi²,

Ferdinando³

et al. 2023

Preprint

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In this paper, a robust nonlinear dynamic controller is designed for a wind turbine with a permanent magnet synchronous generator. The wind turbine is subject to variations in all the parameters appearing in its mathematical model. Furthermore, the wind velocity is considered unavailable for direct measurement. This situation is of particular interest in practical applications, where only the nominal parameter values are known, and accurate wind velocity measurement is challenging due to perturbations caused by the turbine itself, even with appropriate sensors. The problem addressed in this work involves tracking the reference angular velocity corresponding to the wind velocity. To achieve accurate tracking, appropriate compensation of the perturbation terms resulting from parameter uncertainties and wind estimation errors is required. To address this problem, an estimator of the wind velocity is utilized, along with high–order sliding mode parameter estimators, to ensure high–performance operation of the turbine.

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Section: Mathematical Model Of a Wtmentioning

confidence: 99%

Robust Nonlinear Control of a Wind Turbine with a Permanent Magnet Synchronous Generator

Lúa¹,

Bianchi²,

Ferdinando³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Power quality issues can be minimized since the turbine rotor absorbs much of the mechanical fluctuations. Variable speed WECS employs different types of wind generators, majorly [1]. a. Squirrel cage induction generators.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Low Voltage Ride Through Techniques of DFIG Connected to Grid using AI Techniques

Gangikunta,

Venkateshwarlu,

Jaya Laxmi

2024

E3S Web Conf.

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The requirement for clean and eco-friendly energy initiated the production of renewable energy. Wind energy promises attractive features such as bulk power production and reduced maintenance cost. Advancement of technologies in the field of wind turbines and generators made the gates open for attractive investments. Adjustable-speed wind turbines tied to Doubly Fed Induction Generators (DFIG) became the most excellent choice of power utilities due to their low-cost power converters and four-quadrant control of useful and wattless powers. The ability to extract a high amount of power for a specified wind speed is a major advantage of DFIG which attracted Power system Operators (PSOs). Low voltage ride-through and wattless Spower support to the grid are estimated and compared using conventional PI controllers, Artificial Neural Network (ANN), and Random Forest Optimization (RFO) algorithm.

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“…Recently, the use of renewable energy resources (RER) has been increasing and wind and photovoltaic (PV) energy have become more popular for clean and reliable electricity generation. The integration of PV systems and wind power into conventional electric networks is associated with more challenges to maintain network stability [1,2]. Use of wind power, PV system, and synchronous generator (SG) simultaneously in a power system may endanger the stability of power grid because of the non-linear nature of wind and solar renewable energy [3,4].…”

Section: Introductionmentioning

confidence: 99%

A robust transient energy function‐based controller for enhancing transient stability of virtual power system

Abazari

Ghaedi

2023

IET Generation Trans & Dist

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This paper offers non‐linear control for enhancing the transient stability in power systems containing a photovoltaic (PV) and doubly fed induction generator (DFIG) by transient energy function (TEF) method and finite‐time observers. At first, the TEF method is utilized to enhance the transient stability in a power system containing a PV, DFIG, and synchronous generator (SG) by constructing a hybrid Lyapunov function. Then, the derivative terms in control are estimated with finite‐time observers. The main contribution of the research is the application of the TEF technique in the transient stability evaluation of a power system consisting of PV, SG, and DFIG. Another innovation of the research is the simultaneous control of DFIG and PV, whose uncertain parameters are estimated with the use of finite‐time observer. The proposed non‐linear control scheme is robust against changes in the configuration of the power system. In order to show the capability of this control scheme, time domain simulations are performed on the IEEE 9‐bus, and the NEW ENGLAND Standard 39‐Bus power system. Using the obtained result, some comparisons are made with the back‐stepping control scheme to clarify the superiority of the proposed method. The comparisons show that the proposed non‐linear control scheme can properly provide extra damping to reduce the first‐swing fluctuations in less time.

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Grid Integration of Wind Energy Conversion Systems

Cited by 11 publications

References 39 publications

Robust Nonlinear Control of a Wind Turbine with a Permanent Magnet Synchronous Generator

Robust Nonlinear Control of a Wind Turbine with a Permanent Magnet Synchronous Generator

Comparative Analysis of Low Voltage Ride Through Techniques of DFIG Connected to Grid using AI Techniques

A robust transient energy function‐based controller for enhancing transient stability of virtual power system

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