Robust control of the variable speed wind turbines in the presence of uncertainties: A comparison between H∞ and PID controllers

Moradi, Hamed; Vossoughi, Gholamreza

doi:10.1016/j.energy.2015.06.100

Cited by 124 publications

(47 citation statements)

References 42 publications

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“…The comparison is made between proportional-integral-derivative (PID) and H N controllers. 4 Nonlinearity and uncertainty affect 1 the PID and the output is not stable. Poultangari et al 1 suggest that at different wind profiles above rated speed the proportional-integral (PI) controllers are optimized for training the neural network.…”

Section: Introductionmentioning

confidence: 99%

Proposed particle swarm optimization technique for the wind turbine control system

Iqbal

Ying

Saleem

et al. 2020

Measurement and Control

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Wind energy is a useful and reliable energy source. Wind turbines are attracting attention with the dependency of the world on clean energy. The turbulent nature of wind profiles along with uncertainty in the modeling of wind turbines makes them more challenging for prolific power extraction. The pitch control angle is used for the effective operation of wind turbines at the above-nominal wind speed. To extract stable power as well as to keep wind turbines in a safe operating region, the pitch controller should be intelligent and highly efficient. For this purpose, proportional-integral-derivative controllers are mostly used. The parameters for the proportional-integral-derivative controller are unknown and calculated by numerous techniques, which is a quite cumbersome task. In this research, the particle swarm optimization technique is used but the conventional particle swarm optimization technique cannot tackle the system's nonlinearity and uncertainties. Hence, the proposed particle swarm optimization algorithm is employed for the calculation of the controller's optimal parameters. The proposed technique is implemented on a 5-MW wind turbine, which is designed using the Bladed software. Simulation is performed using MATLAB/Simulink to validate the effectiveness of the proposed technique. A variable wind profile is fed as input into the system and the proposed controller provides satisfactory results for the power, rotor speed, and torque. The system is stable and the settling time is reduced.

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Section: Introductionmentioning

confidence: 99%

Proposed particle swarm optimization technique for the wind turbine control system

Iqbal

Ying

Saleem

et al. 2020

Measurement and Control

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“…ihtiyaç duyulmaktadır [5], [8], [16], [18], [22]. Sistem modelinden tamamen bağımsız ve bozucu etkilerin varlığında çalışabilecek yapıya sahip dayanıklı denetleyiciler değişken hızlı rüzgâr türbinlerinin denetimi için çokça tercih edilen diğer yapılardır [10]- [12], [19], [23]- [25]. Fakat bu tip yapılarda da ortaya çıkan denetim çabası ihtiyacı şüphesiz ki uyarlamalı denetleyicilere göre daha fazla olmaktadır.…”

Section: Introductionunclassified

A Backstepping Nonlinear Control Design for Variable Speed Wind Turbines

Bıdıklı¹

2019

Pamukkale J Eng Sci

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Değişken hızlı rüzgâr türbinlerinin rotor hızını uygun bir şekilde denetlemek, enerji üretimini ve güç verimliliğini eniyilemek için başvurulabilecek yöntemlerden bir tanesidir. Bu çalışmanın temel hedefi değişken hızlı rüzgâr türbinlerinin rotor hızı denetimini sağlayabilecek yapıda özgün bir doğrusal olmayan dayanıklı ve uyarlamalı denetleyici tasarlamaktır. Değişken hızlı rüzgâr türbinlerinin mekanik ve elektrik yapıları incelendiğinde geri adımlamalı denetim tasarımı yaklaşımının bu tip sistemler için denetleyici tasarımı gerçeklemeye oldukça uygun olduğu tespit edilmiştir. Bu durum göz önünde bulundurularak bu çalışmada sunulan denetleyici yapısı geri adımlamalı denetim tasarımı yaklaşımı kullanılarak tasarlanmıştır. Denetleyicinin dayanıklı yapısı sistem modeli ve parametreleri hakkında herhangi bir bilgiye ihtiyaç duyulmaksızın denetim hedefine ulaşmaya olanak sağlarken, uyarlamalı yapısı ise denetim esnasında parametrik belirsizlikleri telafi edebilmektedir. Tasarlanan denetleyicinin kuramsal çözümlemesi Lyapunov-tabanlı bir yöntemle tamamlanarak çalışmada sunulmuştur. Elde edilen sonuçlar, tasarlanan denetleyicinin başarımının kuramsal bir ispatı niteliğindedir. Tasarımın başarımını daha net bir şekilde ortaya koymak için ise takip rotası olarak farklı rotor hızı senaryoları kullanılan benzetimler yapılmış ve bu benzetimlerin sonuçlarına çalışmada yer verilmiştir. Controlling the rotor speed of variable speed wind turbines properly is one of the most appropriate methods to optimize the energy production and power efficiency of these type of energy production systems. Designing a novel nonlinear robust adaptive controller that is able to provide the rotor speed control of variable speed wind turbines is the main purpose of this study. It was identified that the backstepping control design technique is a feasible way to design a controller for variable speed wind turbines when their mechanical and electrical subsystems are considered. The control design presented in this study is designed via backstepping control design approach by considering this issue. Robust structure of the designed controller provides that it reaches control purpose without using any information about system model and its parameters while it adaptive structure compensates the parametric uncertainties during the control process. Lyapunov-based arguments are used to complete the theoretical analysis of the designed controller. Results of this analysis theoretically prove that the designed controller is able to reach the control purpose. Additionally, performance of the designed controller is demonstrated via numerical simulation results that are realized by considering different desired rotor speed scenarios.

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“…Several pitch angle controllers have been suggested in past literature [1,[15][16][17][18]. The most common pitch angle controllers are the proportional-integral (PI) controllers.…”

Section: Pitch Angle Controllermentioning

confidence: 99%

Coordinated Control Strategies for a Permanent Magnet Synchronous Generator Based Wind Energy Conversion System

2017

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Abstract:In this paper, a novel co-ordinated hybrid maximum power point tracking (MPPT)-pitch angle based on a radial basis function network (RBFN) is proposed for a variable speed variable pitch wind turbine. The proposed controller is used to maximise output power when the wind speed is low and optimise the power when the wind speed is high. The proposed controller provides robustness to the nonlinear characteristic of wind speed. It uses wind speed, generator speed, and generator power as input variables and utilises the duty cycle and the reference pitch angle as the output control variables. The duty cycle is used to control the converter so as to maximise the power output and the reference pitch angle is used to control the generator speed in order to control the generator output power in the above rated wind speed region. The effectiveness of the proposed controller was verified using MATLAB/Simulink software.

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Robust control of the variable speed wind turbines in the presence of uncertainties: A comparison between H∞ and PID controllers

Cited by 124 publications

References 42 publications

Proposed particle swarm optimization technique for the wind turbine control system

Proposed particle swarm optimization technique for the wind turbine control system

A Backstepping Nonlinear Control Design for Variable Speed Wind Turbines

Coordinated Control Strategies for a Permanent Magnet Synchronous Generator Based Wind Energy Conversion System

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