A Novel Dynamic Co-Simulation Analysis for Overall Closed Loop Operation Control of a Large Wind Turbine

Wang, Ching-Sung; Chiang, Mao-Hsiung

doi:10.3390/en9080637

Cited by 8 publications

(8 citation statements)

References 19 publications

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“…Step speed is shown in Figure 7(a) and random wind is depicted in Figure 8 [-0.06 0.06] The universe of differential coefficient [-3 3] The value of the error universe 0.003 The value of the error changing rate universe 0.008 The coefficient of universe scaling factor 0.9 1 The coefficient of universe scaling factor 0.9 2…”

Section: Simulation Results and Analysesmentioning

confidence: 99%

See 1 more Smart Citation

Feedforward Feedback Pitch Control for Wind Turbine Based on Feedback Linearization with Sliding Mode and Fuzzy PID Algorithm

Ren

Zhang

Deng

et al. 2018

Mathematical Problems in Engineering

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After exceeding rated power, variable speed variable pitch wind turbines need to keep output powers at rated value by adopting pitch angles. With the typical nonlinear characteristics of the wind turbines, it is difficult to control accurately by conventional linear controller. Though feedback control can realize the stability of the system, it is effective only when deviations are produced. As such, feedforward control can be applied to compensate the time-delay produced by feedback control. Accordingly, we propose a compound control strategy that combines feedback controller with feedforward controller in this paper. In feedback loop, we adopt fuzzy algorithm to adjust the parameters of PID controller. Furthermore, to overcome large variation of input wind speed, variable universe theory is proposed to optimize fuzzy algorithm. In feedforward loop, we propose feedback linearization to address nonlinear problem. Furthermore, sliding mode algorithm is supplied to improve the robustness of feedback linearization. Therefore, feedforward loop can efficiently compensate time-delay deficiency of wind turbine systems. Simulation results show that the proposed controller can enhance the control accuracy and robustness of the system.

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Section: Simulation Results and Analysesmentioning

confidence: 99%

“…Wind energy is an important renewable energy so that wind turbines are rapidly developing in the world for decades [1][2][3][4]. In the beginning, small wind turbine is the mainstream as its construction is simple and control algorithms are rarely used and therefore its power control greatly depends on aerodynamics itself.…”

Section: Introductionmentioning

confidence: 99%

Feedforward Feedback Pitch Control for Wind Turbine Based on Feedback Linearization with Sliding Mode and Fuzzy PID Algorithm

Ren

Zhang

Deng

et al. 2018

Mathematical Problems in Engineering

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“…However, the scientific software platform is also a necessary condition to ensure the efficiency of wind energy conversion. Software such as MATLAB/Simulink [18], FAST [19][20][21], LABVIEW [22], GH (Garrad Hassan) Bladed [23], and dSPACE [24,25] are widely used as control, simulation or verification tools due to their flexible programming process and easy-to-implement characteristics for complex control in researching wind energy generation. They are restricted to communicating with industrial device directly, which becomes an obstacle in applying the complex and advanced control algorithm of wind energy conversion in the engineering site.…”

Section: Related Work On Wind Energy Conversion System (Wecs)mentioning

confidence: 99%

Application Research of the Parallel System Theory and the Data Engine Approach in Wind Energy Conversion System

Lin

Zheng

Chen³

et al. 2019

Energies

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The parallel system is a kind of scientific research method based on an artificial system and computational experiments, which can not only reflect the dynamic process of the real system but also optimize its control process in real time. Given the rapid development of wind energy technology, how to shorten the development and deployment cycle and decrease the programming difficulties of wind energy conversion system (WECS) are major issues for improving the utilization of this form of energy. In this paper, the Data Engine is used as a computing environment to form a parallel WECS for studying the engineering application of WECS. With the support of the programming methods of graphical component configurations, visualization technology and dynamic reconfiguration technology, a maximum power point tracking (MPPT) computing experiment of the parallel WECS is carried out. After comparing with MATLAB simulation results, the parallel WECS is verified as having good performance. The Data Engine is an ideal computing unit for modeling and computation of the parallel system and can establish a parallel relationship between the artificial system and the real system so as to achieve the optimal control of WECS.

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“…The load motor uses a low-voltage, three-phase induction motor. The wind load applied to the pitch motor of the pitch system is determined by the blade weight, wind speed, and pitch angle and represented by the pitching moment generated by FAST [21]. When the pitching moment of the three blades generated through the real-time simulation is transferred to the PLC of the wind load simulation system through TCP/IP Ethernet communication, the PLC generates the commands corresponding to the pitching moment values.…”

Section: Wind Load Simulation Systemmentioning

confidence: 99%

Development of Hardware-in-the-Loop-Simulation Testbed for Pitch Control System Performance Test

et al. 2019

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This paper deals with the development of a wind turbine pitch control system and the construction of a Hardware-in-the-Loop-Simulation (HILS) testbed for the performance test of the pitch control system. When the wind speed exceeds the rated wind speed, the wind turbine pitch controller adjusts the blade pitch angles collectively to ensure that the rotor speed maintains the rated rotor speed. The pitch controller with the individual pitch control function can add individual pitch angles into the collective pitch angles to reduce the mechanical load applied to the blade periodically due to wind shear. Large wind turbines often experience mechanical loads caused by wind shear phenomena. To verify the performance of the pitch control system before applying it to an actual wind turbine, the pitch control system is tested on the HILS testbed, which acts like an actual wind turbine system. The testbed for evaluating the developed pitch control system consists of the pitch control system, a real-time unit for simulating the wind and the operations of the wind turbine, an operational computer with a human–machine interface, a load system for simulating the actual wind load applied to each blade, and a real pitch bearing. Through the several tests based on HILS test bed, how well the pitch controller performed the given roles for each area in the entire wind speed area from cut-in to cut-out wind speed can be shown.

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A Novel Dynamic Co-Simulation Analysis for Overall Closed Loop Operation Control of a Large Wind Turbine

Cited by 8 publications

References 19 publications

Feedforward Feedback Pitch Control for Wind Turbine Based on Feedback Linearization with Sliding Mode and Fuzzy PID Algorithm

Feedforward Feedback Pitch Control for Wind Turbine Based on Feedback Linearization with Sliding Mode and Fuzzy PID Algorithm

Application Research of the Parallel System Theory and the Data Engine Approach in Wind Energy Conversion System

Development of Hardware-in-the-Loop-Simulation Testbed for Pitch Control System Performance Test

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