Abstract
There has been a growing interest in wind energy in latest years as it is a budding source for generating electricity with a negligible environmental impact. With the development of aerodynamic models, wind turbines are easily accessible, capable of capturing hundreds of kilowatts of energy. They generate a significant quantity of energy when such WECS are incorporated into the grid. Variable Speed Generation (VSG) strategies were used to maximize energy extraction from the wind. While variable velocity operation requires greater complication and original investment, these disadvantages are offset by increasing energy capture and improving flexibility in control. A growing number of variable velocity WECS systems are therefore being suggested as wind technology advances. Variable Velocity Generation (VSG) approaches differ the turbine’s rotational speed by regulating either a mechanical or electrical parameter to keep a steady turbine tip-speed ratio. This is called a MPPT controller. Maximum power point region is the region in which wind speed is 5–12 m/s and in this region the pitch angle control is done. The monitoring was when the pitch angle controller was designed for MPPT using Fuzzy Logic controller for a 50 Hz system connected to a grid and compared the performance with conventional PI controller. The proposed designed control system topologies designed will regulate pitch command; therefore, power extraction framed can be controlled and maximized. The results show that the proposed Fuzzy logic pitch angle control approach had better performance and improved by 10% from the controllers such as PI and therefore, the efficiency of the system gets improved.
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Abbreviations
- WECS:
-
Wind Energy Conversion Systems
- KW:
-
Kilowatt
- VSG:
-
Variable Speed Generation
- MPPT:
-
Maximum Power Point Tracking
- WPGS:
-
Wind Power Generation System
- DFIG:
-
Doubly Fed Induction Generator
- SCIG:
-
Squirrel-Cage Induction Generators
- WTG:
-
Wind Turbine Generator
- MPP:
-
Maximum Power Point
- ANN:
-
Artificial Neural Networks
- WT:
-
Wind Turbine
References
F.I. Bakhsh, D.K. Khatod, A new synchronous generator based wind energy conversion system feeding an isolated load through variable frequency transformer. Renew. Energy 86, 106–116 (2016)
F.I. Bakhsh, M.M. Shees, M.S.J. Asghar, Performance of wound rotor induction generators with the combination of input voltage and slip power control. Russian Elect. Eng. 85(6), 403–417 (2014)
F.I. Bakhsh, D.K. Khatod, A novel method for grid integration of synchronous generator based wind energy generation system, in IEEE International Conference on PEDES, IIT Bombay, India (2014), pp. 16–19
F.I. Bakhsh, D.K. Khatod, Application of variable frequency transformer (VFT) for grid interconnection of PMSG based wind energy generation system. Sustain. Energy Tech. Assessments 8, 172–180 (2014)
A.G. Abo-Khalil, Dong-Choon Lee, MPPT control of wind generation systems based on estimated wind speed using SVR. IEEE Trans. Indust. Electron. 55(3), 1489–1490 (2008)
T. Ackermann, Wind Power in Power Systems, Wiley (2005)
V. Agarwal, R.K. Aggarwal, P. Patidar, C. Patki, A novel scheme for rapid tracking of maximum power point in wind energy generation systems. IEEE Trans. Energy Conv. 25(1), 228–236 (2010)
V. Akhniatov, Analysis of Dynamic Behavior of Electric Power Systems with Large Amounts of Wind Power, Ph.D. Thesis, Electric Power Engineering, Technical University of Denmark (2003)
K.H. Ang, G. Chong, Y. Li, PID control system analysis, design and technology. IEEE Trans. Control Syst. Tech. 13(4), 559–576 (2005)
K.J. Astrom, T. Hagglund, The future PID control. Control Eng. Practice 9, 1163–1175 (2001)
M. Azzouz, A.-L. Elshafei, H. Emara, Evaluation of fuzzy-based maximum power-tracking in wind energy conversion systems. IET Renewable Power Gen. 5(6), 422–430 (2011)
S.M. Barakati, M. Kazerani, J.D. Aplevich, Maximum power tracking control for a wind turbine system including a matrix converter. IEEE Trans. Energy Conv. 24(3), 705–713 (2009)
B. Beltran, T. A-Ali, M.E.H. Benbouzid, Sliding mode power control of variable-speed wind energy conversion systems, IEEE Trans. Energy Conv. 23(2), 55 1–558 (2008)
S.N. Bhadra, D. Kastha, S.B. Banerjee, Wind Electrical System, Oxford University Press (2011)
S. Bhowrnik, R. Spec, J.H.R. Enslin, Performance optimization for doubly fed wind power generation systems. IEEE Trans. Industr. Appl. 35(4), 949–958 (1999)
Y.-L. Binwu, S. Navidzargari, S. Ir-kouro, Power Conversion and Control of Wind Energy System (John Wiley and Sons Publication, Wiley IEEE, 2011), ISBN-978-1-118-02900-8
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Hussain Sheikh, A., Ilahi Bakhsh, F. (2020). Maximum Power Extraction and Monitoring from Wind Power Generation System Using Intelligent Controllers. In: Malik, H., Iqbal, A., Yadav, A. (eds) Soft Computing in Condition Monitoring and Diagnostics of Electrical and Mechanical Systems. Advances in Intelligent Systems and Computing, vol 1096. Springer, Singapore. https://doi.org/10.1007/978-981-15-1532-3_15
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