Simplified dynamic models of variable speed wind turbines for frequency regulation studies

Vidyanandan, K. V.; Senroy, Nilanjan

doi:10.1109/isgt-asia.2013.6698708

Cited by 10 publications

(7 citation statements)

References 18 publications

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“…Outra abordagem presente na literatura para a implementação da inercia sintética consiste na operação do aerogerador em sobre velocidade, de modo que a velocidade específica (  ) não corresponda ao coeficiente ótimo de extração de potência (CP) e, portanto, a turbina opere com capacidade reduzida (Rawn et al, 2010), (Vidyanandan et al, 2013). Apesar dessa desvantagem, a abordagem apresenta como vantagem o fato de que a desaceleração causada pela extração de energia cinética para fornecimento de potência ativa leva a turbina a operar na velocidade ótima.…”

Section: Inércia Sintética Dos Aerogeradoresunclassified

Adaptação dos Modelos Dinâmicos de Aerogeradores WECC Tipo III e Tipo IV para Atendimento aos Requisitos de Inércia Sintética do Código de Rede Brasileiro

Costa

Leão

2020

Anais Do Congresso Brasileiro De Automática 2020

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O aumento da participação de usinas eólicas com conversores de frequência e a redução de participação das plantas de geração convencional nas matrizes mundiais têm contribuído para a redução da inércia dos sistemas de potência, trazendo novos desafios no contexto da estabilidade do sistema. Esse artigo apresenta uma adaptação dos modelos genéricos de aerogeradores WECC Tipo III e Tipo IV para atendimento ao código de rede brasileiro no que se refere à estabilidade de frequência. Foi realizado um estudo de estabilidade em um sistema de teste com alta participação de usinas eólicas, com o objetivo de demonstrar a importância da participação das usinas eólicas para a estabilidade de frequência do sistema, utilizando controle de inércia virtual. O comportamento do sistema é avaliado, em uma condição de falta, através da taxa de variação da frequência e do nadir da primeira oscilação da frequência, com e sem o controle de inércia virtual da usina eólica. Os resultados de simulação mostram que as usinas eólicas devem participar do controle de frequência para garantir a estabilidade dos sistemas elétricos de potência, e assim permitir um desenvolvimento sustentável dos sistemas elétricos futuros.

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Section: Inércia Sintética Dos Aerogeradoresunclassified

Adaptação dos Modelos Dinâmicos de Aerogeradores WECC Tipo III e Tipo IV para Atendimento aos Requisitos de Inércia Sintética do Código de Rede Brasileiro

Costa

Leão

2020

Anais Do Congresso Brasileiro De Automática 2020

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“…In the updating stage, all the agents drawn by the first stage are sorted again by (17). For all agents P i ′, if P ai ′ < rand 2 , the agent's location will be updated by (19) and 20, otherwise the agent's location will remain unchanged…”

Section: Load Model and Tie Line Powermentioning

confidence: 99%

Efficient frequency regulation in highly penetrated power systems by renewable energy sources using stochastic fractal optimiser

El‐Hameed

Elkholy

El‐Fergany

2019

IET Renewable Power Generation

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The study proposes efficient controllers to regulate frequency in highly penetrated power systems by renewable energy sources. Frequency controllers for variable speed wind turbines are designed to extract the stored energy in rotating masses, and efficiently regulate the pitch angle for frequency support. A temporary fast participation of storage battery incorporated with photovoltaic sources is provided via auxiliary controller. Controllers' fine tuning is realised by using stochastic fractal optimiser (SFO). The integral time absolute error in area frequency and tie line power represents the adapted objective function subjects to set of constraints. The performance assessments are carried out in three phases: (i) at initial stage, the secondary control is disabled and impact of wind penetration level on frequency nadir and frequency deviations are investigated, (ii) coordinated inertia/energy storage control is demonstrated, and (iii) finally, robustness analysis is made considering system parametric variations and real weather data. The proposed control strategy is verified by simulation in MATLAB/SIMULINK environment. The drawn numerical results by the SFO are compared with those achieved by genetic algorithm and the built-in controller tuner in SIMULINK. Performance assessments, comparative study along with robustness analysis of the SFO results confirm its viability and effectiveness.

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“…s . ) and output variable y is now defined in (15). After the first-order Taylor series expansion around initial operating point, the state-space model defined in (8) and 9…”

Section: 3 Operation At Medium Wind Speeds -Zone IIImentioning

confidence: 99%

“…Then, the pitch angle controller will decrease the pitch angle to inject extra active power to the grid. This operating mode differs from the operation in Zone III only by the expressions for generator electrical power (15) and rotor speed reference (16), which are now defined as P e = T e, 0 ω g + δP f . s .…”

Section: Operation At High Wind Speeds -Zone IVmentioning

confidence: 99%

“…Similarly, simplified DFIG model has been used to develop a non-linear frequency model and non-linear techniques have been used to synthesise an inertial controller in [14]. Simplified dynamic modelling of a DFIG for frequency regulation studies has been developed in [15]; however, no derivation of the transfer function has been provided nor is it clear which parameters define the time constants of the low-order model because only the numerical form has been given. Furthermore, authors assume a single control strategy during all wind speeds.…”

Section: Introductionmentioning

confidence: 99%

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Introducing low‐order system frequency response modelling of a future power system with high penetration of wind power plants with frequency support capabilities

Krpan

Kuzle

2018

IET Renewable Power Generation

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Wind power generation has reached a significant share in power systems worldwide and will continue to increase. As the converter-connected generation reduces the grid inertia, more and more interest has been given to exploiting the kinetic energy and controllability of variable-speed wind turbine generators (VSWTGs) for frequency support. Consequently, the grid frequency dynamics are changing. Thus, it is necessary to include the frequency response of wind power plants in the system frequency response (SFR) model. A novel approach to low-order SFR modelling of a future power system with a high share of frequency-support-capable VSWTGs has been presented. Low-order model of VSWTGs with primary frequency response and natural inertial response has been developed considering different wind turbine operating regimes and compared to the nonlinear model for validation. Low-order model has been presented in a symbolic transfer function form. Model accuracy has been discussed and the impact of VSWTG parameters on frequency response has been analysed. The developed model facilitates studying power system frequency dynamics by avoiding the need for modelling complex VSWTG systems, while retaining a satisfying level of accuracy.

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Simplified dynamic models of variable speed wind turbines for frequency regulation studies

Cited by 10 publications

References 18 publications

Adaptação dos Modelos Dinâmicos de Aerogeradores WECC Tipo III e Tipo IV para Atendimento aos Requisitos de Inércia Sintética do Código de Rede Brasileiro

Adaptação dos Modelos Dinâmicos de Aerogeradores WECC Tipo III e Tipo IV para Atendimento aos Requisitos de Inércia Sintética do Código de Rede Brasileiro

Efficient frequency regulation in highly penetrated power systems by renewable energy sources using stochastic fractal optimiser

Introducing low‐order system frequency response modelling of a future power system with high penetration of wind power plants with frequency support capabilities

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