Jakeer Hussain

Bio: Jakeer Hussain is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Wind power & Wind speed. The author has an hindex of 4, co-authored 7 publications receiving 98 citations.

Adaptive Maximum Power Point Tracking Control Algorithm for Wind Energy Conversion Systems

Abstract: This paper presents an adaptive maximum power point tracking (MPPT) algorithm for small-scale wind energy conversion systems (WECSs) to harvest more energy from turbulent wind. The proposed algorithm combines the computational behavior of hill climb search, tip speed ratio, and power signal feedback control algorithms for its adaptability over wide range of WECSs and fast tracking of maximum power point. In this paper, the proposed MPPT algorithm is implemented by using buck–boost featured single-ended primary inductor converter to extract maximum power from full range of wind velocity profile. Evaluation of the proposed algorithm is done on a laboratory-scaled dc motor drive-based WECS emulator. TMS320F28335, 32-bit floating point digital signal controller, is used to execute the control schemes of the in-lab experimental setup. Experimental results show that tracking capability of the proposed algorithm under sudden and gradual fluctuating wind conditions is efficient and effective.

An Efficient Wind Speed Computation Method Using Sliding Mode Observers in Wind Energy Conversion System Control Applications

Abstract: Point wind velocity measurement given by nacelle-top mounted sensor may not be same as effective wind velocity, which strikes the wind turbine rotor blades. This article proposes a new method for the computation of effective wind velocity by inverting the turbine's aerodynamic model after estimating the turbine torque and its rotor speed. Nonlinear control theory-based sliding mode observers are used to estimate the wind turbine generator induced speed emfs, rotor speed, and aerodynamic torque imparted to generator shaft. While satisfying the Lyapunov inequality condition, design aspects of sliding mode observers are discussed in detail. The performance of the proposed wind velocity estimation method is evaluated by using permanent magnet synchronous generator-based wind turbine emulator in laboratory. Simulation and experimental studies confirm that the estimated wind velocity under different wind profile conditions is accurate and can be used in various control algorithms in wind energy conversion systems.

Design and development of real-time small-scale wind turbine simulator

Abstract: Application of power electronics in machine control facilitates emulation of practical wind turbine characteristics using electric machine. In this paper, to test and evaluate the performance of newly developed control schemes for the efficient operation of wind energy conversion system, an in-lab small-scale wind turbine simulator has been developed using a separately excited DC motor coupled to a permanent magnet synchronous generator. Steady state characteristics and dynamic behavior of the practical wind turbine are satisfactorily reproduced by the DC motor. Steady state characteristics like tip speed ratio versus coefficient of power, rotor speed versus turbine output power and dynamic response during furling mechanism at high wind velocities are emulated from the developed wind turbine simulator. The simulator system is tested in response to the wind profile data recorded in the field at the hub height of 18.5 meters. The developed wind turbine simulator can be used to represent wind energy conversion system in the process of the development of in-lab microgrid system.

Design and control process of SEPIC converter for maximum power extraction in wind energy conversion systems

Abstract: Operating point of a given wind energy conversion system (WECS) changes due to variations in wind velocity and applied load. As a consequence, mode of operation of the dc-dc converter, which implements maximum power point tracking (MPPT) control algorithm, shuttles between continuous conduction mode (CCM) and discontinuous conduction mode (DCM). Moreover, conventional design process of a converter for CCM operation and control system design principles, which are primarily focused for the regulation of its output voltage, are not applicable for MPPT control implementation. This paper presents the design process of single-ended primary inductor converter (SEPIC) for CCM operation throughout the operating range of a small-scale WECS and discusses the digital redesign process of DSP-based digital control system for effective MPPT control algorithm implementation. TMS320F28335 DSP controller based experimental setup is used for the evaluation of the proposed controller configuration.

Adaptive MPPT control algorithm for small-scale wind energy conversion systems

Abstract: This paper presents a new adaptive control scheme for small-scale wind energy conversion systems to extract maximum power from turbulent wind for microgrid systems. To improve the system reliability, the proposed maximum power point tracking algorithm is implemented without using mechanical sensors for the measurement of wind speed and generator speed. These two mechanical quantities are estimated from the measured electrical quantities of the system. During initial stage of execution, the control algorithm runs in system-independent mode and after acquiring system related information, it enters into system-specific mode. Effectiveness of the proposed control scheme is verified through simulation studies.

Power Electronics Converters Applications And Design

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Robust Design of ANFIS-Based Blade Pitch Controller for Wind Energy Conversion Systems Against Wind Speed Fluctuations

Abstract: Wind speed fluctuations and load demand variations represent the big challenges against wind energy conversion systems (WECS). Besides, the inefficient measuring devices and the environmental impacts (e.g. temperature, humidity, and noise signals) affect the system equipment, leading to increased system uncertainty issues. In addition, the time delay due to the communication channels can make a gap between the transmitted control signal and the WECS that causes instability for the WECS operation. To tackle these issues, this paper proposes an adaptive neuro-fuzzy inference system (ANFIS) as an effective control technique for blade pitch control of the WECS instead of the conventional controllers. However, the ANFIS requires a suitable dataset for training and testing to adjust its membership functions in order to provide effective performance. In this regard, this paper also suggests an effective strategy to prepare a sufficient dataset for training and testing of the ANFIS controller. Specifically, a new optimization algorithm named the mayfly optimization algorithm (MOA) is developed to find the optimal parameters of the proportional integral derivative (PID) controller to find the optimal dataset for training and testing of the ANFIS controller. To demonstrate the advantages of the proposed technique, it is compared with different three algorithms in the literature. Another contribution is that a new time-domain named figure of demerit is established to confirm the minimization of settling time and the maximum overshoot in a simultaneous manner. A lot of test scenarios are performed to confirm the effectiveness and robustness of the proposed ANFIS based technique. The robustness of the proposed method is verified based on the frequency domain conditions that are driven from Hermite–Biehler theorem. The results emphases that the proposed controller provides superior performance against the wind speed fluctuations, load demand variations, system parameters uncertainties, and the time delay of the communication channels.

Analysis and design of voltage-lift technique-based non-isolated boost dc–dc converter

Abstract: In this study, a new structure is proposed for non-isolated boost dc-dc converters using voltage-lift technique. The increasing voltage gain in the proposed converter is achieved step-to-step by a simple structure. In the proposed converter, there is a direct connection to an inductor in input side which provides free current ripple for the input source. Here, the proposed converter performance analysis and their relations are presented in continuous conduction mode and discontinuous conduction mode as well as voltage gain equations for each mode in detail. Then, switching current stress equations in each mode and critical inductance equations are extracted for design considerations. Finally, the carried theoretical analysis and satisfying operation of the proposed converter are verified via experimental results of laboratory prototype.

An Efficient Wind Speed Computation Method Using Sliding Mode Observers in Wind Energy Conversion System Control Applications

Abstract: Point wind velocity measurement given by nacelle-top mounted sensor may not be same as effective wind velocity, which strikes the wind turbine rotor blades. This article proposes a new method for the computation of effective wind velocity by inverting the turbine's aerodynamic model after estimating the turbine torque and its rotor speed. Nonlinear control theory-based sliding mode observers are used to estimate the wind turbine generator induced speed emfs, rotor speed, and aerodynamic torque imparted to generator shaft. While satisfying the Lyapunov inequality condition, design aspects of sliding mode observers are discussed in detail. The performance of the proposed wind velocity estimation method is evaluated by using permanent magnet synchronous generator-based wind turbine emulator in laboratory. Simulation and experimental studies confirm that the estimated wind velocity under different wind profile conditions is accurate and can be used in various control algorithms in wind energy conversion systems.