Transient stability enhancement of variable speed permanent magnet wind generator using adaptive PI-Fuzzy controller

Rosyadi, Marwan; Muyeen, S. M.; Takahashi, Rion; Tamura, Junji

doi:10.1109/ptc.2011.6019456

Cited by 17 publications

(17 citation statements)

References 7 publications

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“…(8) Where P, ρ, A, V w , W m and R are power, air density, rotor swept area of the wind turbine, wind speed in m/sec, rotor speed in rad/s and radius of turbine respectively. Also, C p is the aerodynamic efficiency of rotor [39]. Furthermore, C P is depends on tip speed ratio (TSR) and blade pitch angle.…”

Section: Wind Turbine Modelingmentioning

confidence: 99%

“…The whole wind energy can be converted to mechanical energy and when the pitch angle starts to increase from the zero value, the wind attach angle to the blades will be increased, thereby leading to aerodynamic power reduction and consequently, drawing down the output power. Besides, the second signal is taken from anemometer Nacelle [39].…”

Section: Pitch Angle Based On Flcmentioning

confidence: 99%

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Dynamic response improvement of hybrid system by implementing ANN-GA for fast variation of photovoltaic irradiation and FLC for wind turbine

Izadbakhsh¹,

Rezvani²,

Gandomkar³

2015

Archives of Electrical Engineering

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Abstract:In this paper, dynamic response improvement of the grid connected hybrid system comprising of the wind power generation system (WPGS) and the photovoltaic (PV) are investigated under some critical circumstances. In order to maximize the output of solar arrays, a maximum power point tracking (MPPT) technique is presented. In this paper, an intelligent control technique using the artificial neural network (ANN) and the genetic algorithm (GA) are proposed to control the MPPT for a PV system under varying irradiation and temperature conditions. The ANN-GA control method is compared with the perturb and observe (P&O), the incremental conductance (IC) and the fuzzy logic methods. In other words, the data is optimized by GA and then, these optimum values are used in ANN. The results are indicated the ANN-GA is better and more reliable method in comparison with the conventional algorithms. The allocation of a pitch angle strategy based on the fuzzy logic controller (FLC) and comparison with conventional PI controller in high rated wind speed areas are carried out. Moreover, the pitch angle based on FLC with the wind speed and active power as the inputs can have faster response that lead to smoother power curves, improving the dynamic performance of the wind turbine and prevent the mechanical fatigues of the generator.

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Section: Wind Turbine Modelingmentioning

confidence: 99%

Section: Pitch Angle Based On Flcmentioning

confidence: 99%

Dynamic response improvement of hybrid system by implementing ANN-GA for fast variation of photovoltaic irradiation and FLC for wind turbine

Izadbakhsh¹,

Rezvani²,

Gandomkar³

2015

Archives of Electrical Engineering

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“…where c 1 is 0.5176, c 2 is 116, c 3 is 0.4, c 4 is 5, c 5 is 21, and c 6 is 0.0068 [12]. Parameters of the 5 MW wind turbine model are given in Table 2.…”

Section: Modeling Of Wind Turbinementioning

confidence: 99%

Hardware-in-the-loop Simulation Method for a Wind Farm Controller Using Real Time Digital Simulator

Kim¹,

Kim²,

Kim³

et al. 2014

Journal of Electrical Engineering and Technology

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-A hardware-in-the-loop simulation (HILS) method for a wind farm controller using a real time digital simulator (RTDS) is presented, and performance of the wind farm controller is analyzed. A 100 MW wind farm which includes 5 MW wind power generation systems (WPGS) is modeled and analyzed in RSCAD/RTDS. The wind farm controller is implemented by using a computer, which is connected to the RTDS through transmission control protocol/internet protocol (TCP/IP). The HILS results show the active power and power factor of the wind farm, which are controlled by the wind farm controller. The proposed HILS method in this paper can be effectively utilized to validate and test a wind farm controller under the environment in practice without a real wind farm.

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Section: Pitch Angle Based On Fuzzy Controllermentioning

confidence: 99%

Improvement of Microgrid Dynamic Performance under Fault Circumstances using ANFIS for Fast Varying Solar Radiation and Fuzzy Logic Controller for Wind System

Izadbakhsh¹,

Rezvani²,

Gandomkar³

2014

Archives of Electrical Engineering

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Abstract:The microgrid (MG) technology integrates distributed generations, energy storage elements and loads. In this paper, dynamic performance enhancement of an MG consisting of wind turbine was investigated using permanent magnet synchronous generation (PMSG), photovoltaic (PV), microturbine generation (MTG) systems and flywheel under different circumstances. In order to maximize the output of solar arrays, maximum power point tracking (MPPT) technique was used by an adaptive neuro-fuzzy inference system (ANFIS); also, control of turbine output power in high speed winds was achieved using pitch angle control technic by fuzzy logic. For tracking the maximum point, the proposed ANFIS was trained by the optimum values. The simulation results showed that the ANFIS controller of grid-connected mode could easily meet the load demand with less fluctuation around the maximum power point. Moreover, pitch angle controller, which was based on fuzzy logic with wind speed and active power as the inputs, could have faster responses, thereby leading to flatter power curves, enhancement of the dynamic performance of wind turbine and prevention of both frazzle and mechanical damages to PMSG. The thorough wind power generation system, PV system, MTG, flywheel and power electronic converter interface were proposed by using Mat-lab/Simulink.

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Transient stability enhancement of variable speed permanent magnet wind generator using adaptive PI-Fuzzy controller

Cited by 17 publications

References 7 publications

Dynamic response improvement of hybrid system by implementing ANN-GA for fast variation of photovoltaic irradiation and FLC for wind turbine

Dynamic response improvement of hybrid system by implementing ANN-GA for fast variation of photovoltaic irradiation and FLC for wind turbine

Hardware-in-the-loop Simulation Method for a Wind Farm Controller Using Real Time Digital Simulator

Improvement of Microgrid Dynamic Performance under Fault Circumstances using ANFIS for Fast Varying Solar Radiation and Fuzzy Logic Controller for Wind System

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