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In this research, ant colony algorithm for proportional plus integral (PI) optimal tuning to design load frequency controllers is introduced. A mathematical model of a network with DFIG based wind turbine in two area frequency control is developed. Time domain simulations of the various interconnected power system areas subjected to major disturbances are investigated. A method to enhance the system...
Accurate control of the wind turbine at its optimal rotational speed for a given wind speed is required to extract maximum power from the wind turbine generator system in the absence of aerodynamic pitch control. Due to inherent wind turbine nonlinearities and unpredictable wind speed fluctuations, precise control is a difficult task to undertake. This paper presents a sliding mode speed controller...
Wind turbines have been widely used for clean and renewable electricity generation. The maintenance costs of wind turbines constitute a significant portion of the total cost of the generated electricity. Thus, health management systems are increasingly needed to reduce the maintenance costs and improve the reliability of wind turbines. This paper proposes a novel framework for quantitative evaluation...
This paper focuses on a nonlinear on-line learning control system with some priori knowledge that can be represented with the functions of the gain scheduling. For this, we develop the Gain-Scheduling direct Heuristic Dynamic Programming (GSHDP) controller that is based on the fundamental principle of reinforcement learning. In order to improve the convergence speed of the on-line learning, DL-RM...
An efficient methodology for the tuning of proportional-integral controllers' gains for the generator-side converter of a wind turbine driven permanent magnet synchronous generator using a self-adaptive global best harmony search algorithm is proposed. Performance of the generator with the optimized controller parameters obtained using the proposed algorithm is compared with the parameters obtained...
A maximum power point (MPP) tracking algorithm that uses advanced state detection (ASD) and regression analysis (RA) is proposed in this paper. The ASD and RA allow quick and accurate extractions of the system's MPPs with minimal training and oscillation around the MPP. The ASD measures, stores, and analyses sets of the wind systems' rotational speed and power data to identify steady state operation,...
Due to the nature of unpredicted wind speed, determining the optimal generator speed to extract the maximum available wind power at any wind speed is essential. Therefore, it is significant to include an intelligent controller that can track the maximum peak regardless of wind speed. This paper describes the design and development of particle swarm optimization (PSO)-based maximum power point tracking...
This paper proposes a line search numerical algorithm for Maximum Power Point Tracking (MPPT) in Wind Energy Conversion Systems (WECS). The algorithm maximizes the captured power objective function constructed via a mechanical acceleration estimator with no wind speed measurement necessary. Simulation results are included with varying wind profile, speed and air density to compare the proposed algorithm...
This paper deals with structured control of linear parameter varying systems (LPV) with application to wind turbines. Instead of attempting to reduce the problem to linear matrix inequalities (LMI), we propose to design the controllers via an LMI-based iterative algorithm. The proposed algorithm can synthesize structured controllers like decentralized, static output and reduced order output feedback...
This paper presents a fuzzy logic control design and a proportional-integral control design comparison for a 1.5 MW horizontal axis wind turbine. Design of the proposed fuzzy logic control algorithm was achieved via the principle of heuristics. Aerodynamic characteristics of the wind turbine were studied in order to gain a basic understanding of the system dynamics. No mathematical model of the wind...
The rotation speed of turbines can be adjusted in the real time according to wind speed for maximum power point tracking (MPPT) in power generation systems on smart grid. In this paper, a Wilcoxon radial basis function neural (WRBFN) network based MPPT strategy is proposed for permanent magnet synchronous generator (PMSG) on variable speed wind turbine generation systems. The proposed MPPT strategy...
With the advancements in the variable speed direct drive design and control of wind energy systems, the efficiency and energy capture of these systems is also increasing. As such, many maximum power point tracking methods have been developed and implemented. These MPPT algorithms can be broadly categorized into three types: Tip-Speed control, Power-Signal feedback, and Hill climb search based. However,...
An efficient hybrid distributed genetic algorithm is proposed to determine the proper number and locations of wind turbines in large wind farms. The objective of this optimal process is to find a solution that maximizes the annual profit obtained from a wind farm. It is well-known that genetic algorithms are good for global searches, but are weak for local searches. To improve the performance of finding...
This research paper proposes a novel solution to the problems that exists in the normal hill climb searching (HCS) maximum power point tracking (MPPT) algorithm for wind energy conversion systems (WECS). The solution presented not only solves the tracking speed vs. control efficiency tradeoff problem of HCS but also makes sure that the changing wind conditions shouldnpsilat lead HCS in the wrong direction...
This research paper proposes a novel solution to the problems that exists in the normal hill climb searching (HCS) maximum power point tracking (MPPT) algorithm for wind energy conversion systems (WECS). The solution presented not only solves the tracking speed vs. efficiency tradeoff problem of HCS but also makes sure that the changing wind conditions shouldn't lead HCS in the wrong direction. The...
In recent years, there is a strong trend towards generation of wind power across the globe in geographically suitable areas with a more or less stable wind velocity. The wind farms employ Doubly-fed Induction Generator (DFIG) for energy generation. DFIG allow active and reactive power control through a rotor-side converter, while the stator is directly connected to the grid. Rapid and widespread development...
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