Performance assessment of a wind energy conversion system using a hierarchical controller structure

Viveiros, Carla; Melício, Rui; Igreja, José M.; Mendes, V.M.F.

doi:10.1016/j.enconman.2015.01.002

Cited by 21 publications

(14 citation statements)

References 31 publications

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“…Several other alternative design concepts can also be beneficial for large scale designs, such as: segmented, smart, and folding wind turbine blades for mass reduction and easier transportation [76][77][78], new control algorithms for load alleviation and better power regulation [79][80][81][82], and novel grid integration algorithms for better and higher penetration [83][84][85].…”

Section: Challenges Of Larger Wind Turbinesmentioning

confidence: 98%

Multidisciplinary design optimization of large wind turbines—Technical, economic, and design challenges

Ashuri

Zaaijer

Martins

et al. 2016

Energy Conversion and Management

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a b s t r a c tWind energy has experienced a continuous cost reduction in the last decades. A popular cost reduction technique is to increase the rated power of the wind turbine by making it larger. However, it is not clear whether further upscaling of the existing wind turbines beyond the 5-7 MW range is technically feasible and economically attractive. To address this question, this study uses 5, 10, and 20 MW wind turbines that are developed using multidisciplinary design optimization as upscaling data points. These wind turbines are upwind, 3-bladed, pitch-regulated, variable-speed machines with a tubular tower. Based on the design data and properties of these wind turbines, scaling trends such as loading, mass, and cost are developed. These trends are used to study the technical and economical aspects of upscaling and its impact on the design and cost. The results of this research show the technical feasibility of the existing wind turbines up to 20 MW, but the design of such an upscaled machine is cost prohibitive. Mass increase of the rotor is identified as a main design challenge to overcome. The results of this research support the development of alternative lightweight materials and design concepts such as a two-bladed downwind design for upscaling to remain a cost effective solution for future wind turbines.

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Section: Challenges Of Larger Wind Turbinesmentioning

confidence: 98%

Multidisciplinary design optimization of large wind turbines—Technical, economic, and design challenges

Ashuri

Zaaijer

Martins

et al. 2016

Energy Conversion and Management

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“…Optimization of the wind pitch controller for frequency control was designed [14][15][16][17] based on the genetic algorithm. A fuzzy logic controller was proposed for controlling the hybrid system [18][19][20], and a second type was based on artificial neural networks [21]. The particle swarm algorithm (PSO) is applied in [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Performance Enhancement of Micro Grid System with SMES Storage System Based on Mine Blast Optimization Algorithm

et al. 2019

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Frequency control represents a critically significant issue for the enhancement of the dynamic performance of isolated micro grids. The micro grid system studied here was a wind-diesel system. A new and robust optimization technique called the mine blast algorithm (MBA) was designed for tuning the PID (proportional-integral-differential) gains of the blade pitch controller of the wind turbine side and the gains of the superconducting magnetic energy storage (SMES) controller. SMES was implemented to release and absorb active power quickly in order to achieve a balance between generation and load power, and thereby control system frequency. The minimization of frequency and output wind power deviations were considered as objective functions for the PID controller of the wind turbine, and the diesel frequency and power deviations were used as objective functions for optimizing the SMES controller gains. Different case studies were considered by applying disturbances in input wind, load power, and wind gust, and sensitivity analysis was conducted by applying harsh conditions with varying fluid coupling parameter of the wind-diesel hybrid system. The proposed MBA-SMES was compared with MBA (tuned PID pitch controller) and classical PI control systems in the Matlab environment. Simulation results showed that the MBA-SMES scheme damped the oscillations in the system output responses and improved the system performance by reducing the overshoot by 75% and 36% from classical and MBA-based systems, respectively, reduced the settling time by 45% compared to other systems, and set the final steady-state error of the frequency deviation to zero compared to other systems. The proposed scheme was extremely robust to disturbances and parameter variations.

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“…The supervision level, based on FSM's which represent the operating regions, determines the operational states. The execution level receives the information from the operational states and acts accordingly using one of the controllers [8,9]; the comparative study of the performance assessment of the developed hierarchical structure, for five different types of controllers in the absence and presence of supervisor [9,10]. Control …”

Section: Original Contributionsmentioning

confidence: 99%

Control and Supervision of Wind Energy Conversion Systems

Viveiros¹,

Melício²,

Igreja³

et al. 2016

Technological Innovation for Cyber-Physical Systems

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This paper is about a PhD thesis and includes the study and analysis of the performance of an onshore wind energy conversion system. First, mathematical models of a variable speed wind turbine with pitch control are studied, followed by the study of different controller types such as integer-order controllers, fractional-order controllers, fuzzy logic controllers, adaptive controllers and predictive controllers and the study of a supervisor based on finite state machines is also studied. The controllers are included in the lower level of a hierarchical structure composed by two levels whose objective is to control the electric output power around the rated power. The supervisor included at the higher level is based on finite state machines whose objective is to analyze the operational states according to the wind speed. The studied mathematical models are integrated into computer simulations for the wind energy conversion system and the obtained numerical results allow for the performance assessment of the system connected to the electric grid. The wind energy conversion system is composed by a variable speed wind turbine, a mechanical transmission system described by a two mass drive train, a gearbox, a doubly fed induction generator rotor and by a two level converter. Keywords (separated by '-')Modelling -Simulation -Wind energy -Controllers -Supervision -Performance assessment Abstract. This paper is about a PhD thesis and includes the study and analysis of the performance of an onshore wind energy conversion system. First, mathematical models of a variable speed wind turbine with pitch control are studied, followed by the study of different controller types such as integer-order controllers, fractional-order controllers, fuzzy logic controllers, adaptive controllers and predictive controllers and the study of a supervisor based on finite state machines is also studied. The controllers are included in the lower level of a hierarchical structure composed by two levels whose objective is to control the electric output power around the rated power. The supervisor included at the higher level is based on finite state machines whose objective is to analyze the operational states according to the wind speed. The studied mathematical models are integrated into computer simulations for the wind energy conversion system and the obtained numerical results allow for the performance assessment of the system connected to the electric grid. The wind energy conversion system is composed by a variable speed wind turbine, a mechanical transmission system described by a two mass drive train, a gearbox, a doubly fed induction generator rotor and by a two level converter. Control and Supervision of Wind Energy Conversion Systems

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Performance assessment of a wind energy conversion system using a hierarchical controller structure

Cited by 21 publications

References 31 publications

Multidisciplinary design optimization of large wind turbines—Technical, economic, and design challenges

Multidisciplinary design optimization of large wind turbines—Technical, economic, and design challenges

Performance Enhancement of Micro Grid System with SMES Storage System Based on Mine Blast Optimization Algorithm

Control and Supervision of Wind Energy Conversion Systems

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