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Author

Roohollah Fadaeinedjad

Other affiliations: University of Western Ontario
Bio: Roohollah Fadaeinedjad is an academic researcher from Graduate University of Advanced Technology. The author has contributed to research in topics: Wind power & Turbine. The author has an hindex of 16, co-authored 60 publications receiving 1036 citations. Previous affiliations of Roohollah Fadaeinedjad include University of Western Ontario.


Papers
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Journal ArticleDOI
TL;DR: In this paper, three simulation programs, TurbSim, FAST, and Simulink, are used to model the wind, mechanical and electrical parts of a wind turbine, and its controllers.
Abstract: In order to fully study the electrical, mechanical, and aerodynamic aspects of a wind turbine with a doubly fed induction generator, a detailed model that considers all these aspects must be used. A drawback of many works in the area of wind turbine simulation is that either a very simple mechanical model is used with a detailed electrical model, or vice versa. Hence, the effects of interactions between electrical and mechanical components are not accurately taken into account. In this paper, three simulation programs - TurbSim, FAST, and Simulink - are used to model the wind, mechanical and electrical parts of a wind turbine, and its controllers. Simulation results obtained from the model are used to observe the interaction of all three factors affecting the operation of a wind turbine system. For example, it is shown how an electrical disturbance can cause dangerous tower vibrations under high speed and turbulent wind conditions, which may not be feasible using a simple model of the wind and wind turbine.

158 citations

Journal ArticleDOI
TL;DR: A novel hybrid method of metaheuristic and heuristic algorithms is presented in order to boost robustness and shorten the computational runtime to achieve network minimum loss configuration in the presence of DGs.
Abstract: Different types of distributed generation (DG) are broadly used and optimally placed in a distribution system to improve its performance. Since the network configuration affects the system operational conditions, the network reconfiguration and DG placement should be manipulated simultaneously. Nevertheless, the complexity of the problem may prevent from achieving the optimal solution. This paper presents a novel hybrid method of metaheuristic and heuristic algorithms, in order to boost robustness and shorten the computational runtime to achieve network minimum loss configuration in the presence of DGs. The developed backward/forward power flow is adopted to consider the PV(Q) model of DG. Moreover, different patterns of load types are taken into consideration to perform a practical study. To assess the capabilities of the proposed method, simulations are carried out on IEEE 33-bus and 83-bus practical distribution network of Taiwan Power Company. Furthermore, the proposed method is applied to a 33-bus unbalanced distribution network to verify its applicability in unbalanced distribution systems. The obtained results demonstrate the effectiveness of the proposed method to find optimal status of switches, as well as locations and sizes of DG units, in a rather shorter time than other approaches in the literature.

114 citations

Journal ArticleDOI
TL;DR: In this paper, a model for a PMSG-based wind turbine with yaw control scheme is developed for a grid connected to a grid by two back-to-back voltage source IGBT converters and dc capacitor set between them.
Abstract: In order to fully study small wind turbines (WTs), a comprehensive model that considers all mechanical and electrical aspects is necessary. The permanent magnet synchronous generator (PMSG)-based WT is one of the most common types of WTs that uses a full scale converter with a variable speed WT. In this paper, a new model is developed for a PMSG-based WT with yaw control scheme. The WT generator is connected to a grid by two back-to-back voltage source IGBT converters and a dc capacitor set between them. A precise mechanical model is necessary to simulate yaw control. The yaw control is used as a mechanical mechanism to adjust yaw error and protect small horizontal axis wind turbines (HAWT) against over speed and excess power. TurbSim and FAST are used to model a wind profile and the mechanical parts of the WT. Also, the WT generator and electrical controllers are modeled by Simulink. Field oriented control (FOC) method is developed on the voltage source converters (VSCs). Simulation results show the performance of the mechanical and electrical controllers in different conditions.

109 citations

Journal ArticleDOI
TL;DR: The optimised design of hardware architecture and the high processing speed of FPGA have enhanced the performance of digital controller in designed MPPT system and the proposed method provides a good tracking speed and also mitigation of fluctuation output power.
Abstract: Maximum power point tracking (MPPT) is an important issue in photovoltaic (PV) systems. Hence, we need to design an efficient and cost-effective system which is able to transfer the maximum power received from PV cell to the load. This study describes the hardware implementation of a real time incremental conductance (INC) MPPT algorithm for a PV module. According to the PV dynamic model, a criterion is presented that by modifying the original algorithm, an adaptive variable step size INC algorithm is realised and efficiently is implemented on XILINX XC3S400 field programmable gate array (FPGA). At first, the PV model characteristics and the proposed algorithm with the mathematical equations are modelled and simulated using `MATLAB/Simulink-system generator' environment; then the system performance is examined. It is worth that some solutions are proposed to simplify the system based on the design constraints for hardware implementation of digital controller on FPGA. The optimised design of hardware architecture and the high processing speed of FPGA have enhanced the performance of digital controller in designed MPPT system. The experimental results show the proposed method provides a good tracking speed and also mitigation of fluctuation output power.

103 citations

Journal ArticleDOI
TL;DR: In this paper, the effects of tower shadow, wind shears, yaw error, and turbulence on the power quality in a stand-alone wind-diesel system utilizing a fixed-speed WT are studied.
Abstract: To study the impact of aerodynamic aspects of a wind turbine (WT) (i.e., tower shadow, wind shears, yaw error, and turbulence) on the power quality of a wind-diesel system, all electrical, mechanical, and aerodynamic aspects of the WT must be studied. Moreover, the contribution of the diesel generator system and its controllers should be considered. This paper describes how the aerodynamic and mechanical aspects of a WT can be simulated using TurbSim, AeroDyn, and FAST where the electrical parts of WT, diesel generator, its controllers, and electrical loads are modeled by Simulink blocks. Simulation results obtained from the model are used to observe the power and voltage variations at the WT generator terminals under different operating conditions. Furthermore, the effects of tower shadow, wind shears, yaw error, and turbulence on the power quality in a stand-alone wind-diesel system utilizing a fixed-speed WT are studied.

87 citations


Cited by
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01 Jan 2016

1,633 citations

Journal ArticleDOI
01 Jul 1968-Nature
TL;DR: The Thermophysical Properties Research Literature Retrieval Guide as discussed by the authors was published by Y. S. Touloukian, J. K. Gerritsen and N. Y. Moore.
Abstract: Thermophysical Properties Research Literature Retrieval Guide Edited by Y. S. Touloukian, J. K. Gerritsen and N. Y. Moore Second edition, revised and expanded. Book 1: Pp. xxi + 819. Book 2: Pp.621. Book 3: Pp. ix + 1315. (New York: Plenum Press, 1967.) n.p.

1,240 citations

Journal ArticleDOI
TL;DR: In this paper, a new control strategy for the rotor-side converter (RSC) of wind turbines based on doubly fed induction generators (DFIGs) is proposed to improve its low-voltage ride through capability.
Abstract: This paper presents a new control strategy for the rotor-side converter (RSC) of wind turbines (WTs) based on doubly fed induction generators (DFIG) that intends to improve its low-voltage ride through capability. The main objective of this work is to design an algorithm that would enable the system to control the initial overcurrents that appear in the generator during voltage sags, which can damage the RSC, without tripping it. As a difference with classical solutions, based on the installation of crowbar circuits, this operation mode permits to keep the inverter connected to the generator, something that would permit the injection of power to the grid during the fault, as the new grid codes demand. A theoretical study of the dynamical behavior of the rotor voltage is also developed, in order to show that the voltage at the rotor terminals required for the control strategy implementation remains under controllable limits. In order to validate the proposed control system simulation, results have been collected using PSCAD/EMTDC and experimental tests have been carried out in a scaled prototype.

368 citations

Journal ArticleDOI
TL;DR: The proposed sliding-mode control approach has been validated on a 1.5-MW three-blade wind turbine using the national renewable energy laboratory wind turbine simulator FAST (Fatigue, Aerodynamics, Structures, and Turbulence) code and results show that the proposed control strategy is effective in terms of power regulation.
Abstract: This paper deals with the power generation control in variable-speed wind turbines. These systems have two operation regions which depend on wind turbine tip speed ratio. A high-order sliding-mode control strategy is then proposed to ensure stability in both operation regions and to impose the ideal feedback control solution in spite of model uncertainties. This control strategy presents attractive features such as robustness to parametric uncertainties of the turbine. The proposed sliding-mode control approach has been validated on a 1.5-MW three-blade wind turbine using the national renewable energy laboratory wind turbine simulator FAST (Fatigue, Aerodynamics, Structures, and Turbulence) code. Validation results show that the proposed control strategy is effective in terms of power regulation. Moreover, the sliding-mode approach is arranged so as to produce no chattering in the generated torque that could lead to increased mechanical stress because of strong torque variations.

343 citations

Journal ArticleDOI
TL;DR: In this article, a second-order sliding mode is proposed to control the wind turbine DIF according to references given by an MPPT, which can directly track the DFIG torque leading to maximum power extraction.
Abstract: This paper deals with power extraction maximization of a doubly fed induction generator (DFIG)-based wind turbine. These variable speed systems have several advantages over the traditional wind turbine operating methods, such as the reduction of the mechanical stress and an increase in the energy capture. To fully exploit this latest advantage, many control schemes have been developed for maximum power point tracking (MPPT) control schemes. In this context, this paper proposes a second-order sliding mode to control the wind turbine DFIG according to references given by an MPPT. Traditionally, the desired DFIG torque is tracked using control currents. However, the estimations used to define current references drive some inaccuracies mainly leading to nonoptimal power extraction. Therefore, using robust control, such as the second-order sliding mode, will allow one to directly track the DFIG torque leading to maximum power extraction. Moreover, the proposed control strategy presents attractive features such as chattering-free behavior (no extra mechanical stress), finite reaching time, and robustness with respect to external disturbances (grid) and unmodeled dynamics (generator and turbine). Simulations using the wind turbine simulator FAST and experiments on a 7.5-kW real-time simulator are carried out for the validation of the proposed high-order sliding mode control approach.

269 citations