Uniform Decomposition and Positive-Gradient Differential Evolution for Multi-Objective Design of Wind Turbine Blade

Wang, Long; Han, Ran; Wang, Tongguang; Ke, Shitang

doi:10.3390/en11051262

Cited by 4 publications

(2 citation statements)

References 37 publications

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“…Observe that the dynamic of the interval observer ( 5) and ( 6) is defined under the non-faulty scenario (H in Table 1). Hence, the system matrices A and B in system (10), and L in Equation (11), take values given by w n = w H = 11.11 and ζ = ζ H = 0.6; and then labeled as A H , B H and L H , as follows:…”

Section: Scenario W N (Rad/s) ζmentioning

confidence: 99%

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Fault Detection Algorithm for Wind Turbines’ Pitch Actuator Systems

2020

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A fault detection innovation to wind turbines’ pitch actuators is an important subject to guarantee the efficiency wind energy conversion and long lifetime operation of these rotatory machines. Therefore, a recent and effective fault detection algorithm is conceived to detect faults on wind turbine pitch actuators. This approach is based on the interval observer framework theory that has proved to be an efficient tool to measure dynamic uncertainties in dynamical systems. It is evident that almost any fault in any actuator may affect its historical-time behavior. Hence, and properly conceptualized, a fault detection system can be successfully designed based on interval observer dynamics. This is precisely our main contribution. Additionally, we realize a numerical analysis to evaluate the performance of our approach by using a dynamic model of a pitch actuator device with faults. The numerical experiments support our main contribution.

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Section: Scenario W N (Rad/s) ζmentioning

confidence: 99%

“…The damage effects caused by the fatigue of the wind turbine components is an important issue to perform the behavior of wind turbines [10]. In addition, improving the design can be an effective way to ameliorate the performance of the whole system [11]. For example, the blade aerodynamic design of the wind turbine is studied in [12].…”

Section: Introductionmentioning

confidence: 99%

Fault Detection Algorithm for Wind Turbines’ Pitch Actuator Systems

2020

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A Competitive-Cooperative Game Method for Multi-Objective Optimization Design of a Horizontal Axis Wind Turbine Blade

Meng

Xie

2019

IEEE Access

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This paper presents a multi-objective optimization model of a wind turbine blade based on blade's parameterized finite element model, where annual energy production and blade mass are the objective functions, and aerodynamic and structural parameters are the design variables. In this study, the maximum axial thrust, strain, displacement, and first-order natural frequency of blade are selected as constraints. A novel competitive-cooperative game method is proposed to obtain the optimal preference solution. In this method, a new exploration method of player's strategy space named 'correlation analysis under fuzzy k-means clustering' is proposed, and the payoff functions are constructed according to competitive and cooperative behaviors. Two optimization schemes with preference objectives are obtained and all goals showed clear improvements over the initial solutions, and this method reveals the relationship between blade shape and desired performance. More deeply, dynamic sensitivities of various design variables to objective functions are obtained for different blade shapes. INDEX TERMS Competitive-cooperative game, parameterized finite element model of wind turbine blade, aerodynamic and structural design, dynamic sensitivity.

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Research on optimization methods for large-flow coefficient centrifugal compressors

Yang,

Fan,

Chen

et al. 2024

Front. Energy Res.

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The present paper focuses on the optimization of large-flow coefficient centrifugal compressors, utilizing a mature centrifugal compressor impeller with a flow coefficient of 0.16 under design point condition in engineering as the research subject. Due to the more complex flow mechanism and more design parameters in the impeller with large flow coefficient, the traditional artificial optimization method is insufficient. In present paper, the impeller with a large flow coefficient is optimized using the concept of combining physical principles and artificial intelligence tools. Firstly, the impeller underwent a redesign based on the theory of maximum flow capacity, with the aim of reducing the Mach number at the impeller inlet to enhance the compressor’s performance. And the efficiency of the impeller at the design point has been increased from 88.6% to 89.9%. In order to further improve the performance of the impeller, an optimization algorithm grounded in gradient variation was employed to facilitate the automatic compressor optimization, and the flow losses at the impeller’s top under low-flow conditions has been mitigated. The results of three-dimensional numerical simulation showed that the operating range of the new impeller is 7% wider than that of the original impeller.

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Uniform Decomposition and Positive-Gradient Differential Evolution for Multi-Objective Design of Wind Turbine Blade

Cited by 4 publications

References 37 publications

Fault Detection Algorithm for Wind Turbines’ Pitch Actuator Systems

Fault Detection Algorithm for Wind Turbines’ Pitch Actuator Systems

A Competitive-Cooperative Game Method for Multi-Objective Optimization Design of a Horizontal Axis Wind Turbine Blade

Research on optimization methods for large-flow coefficient centrifugal compressors

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