Use of permanent magnet-based generator in a wind power system to control and maximize the power generated.

1. Control and Maximization of
Energy using PMSG based
generator
Student ID
Supervisor

2. Aim and Objectives
The main aim or objectives of the project are:
• Identify and compare different synchronous machine in
terms of maximum power generation
• Simulation and modeling of PMSG based generator

3. Methodology
The methodology of the project
consist of three phases or activities.
• PMSG side rectifier control via
Vector Control and MPPT.
• Control Strategy for Grid-side.
• Simulation.

4. • The literature review section of the project contains
research articles from 2013 onward.
• The quest for research articles was performed
based on the keywords like PMSG, Wind-Energy
Conversion-Systems , energy maximization using
PMSG, optimal energy control using PMSG etc.
• The key findings from the most relevant scholarly
articles are given below:
Literature Review

5. • A control-oriented PMSG wind energy conversion uncertainty model is established.
The upper bound of the uncertainties is not known in advance. A proof of the
convergence is derived based on the Lyapunov stability theory (Wang et al., 2019).
• This paper will explore in detail about the control analysis for both the generator and
grid side converter system. Further, it will also discuss about the pitch angle control for
the wind turbine in order to obtain maximum power for the complete wind energy
generation system (Pindoriya et al., 2017).
• In this paper, a novel co-ordinated hybrid maximum power point tracking (MPPT)-pitch
angle based on a radial basis function network (RBFN) is proposed for a variable
speed variable pitch wind turbine. The proposed controller is used to maximise output
power when the wind speed is low and optimise the power when the wind speed is
high (Tiwari et al., 2017).

6. Pindoriya, R. M., Usman, A., Rajpurohit, B. S., & Srivastava, K. N. (2017). PMSG based
wind energy generation system: Energy maximization and its control. 2017 7th
International Conference on Power Systems (ICPS), 376–381.
https://doi.org/10.1109/ICPES.2017.8387323
Tiwari, R., Padmanaban, S., & Neelakandan, R. (2017). Coordinated Control Strategies
for a Permanent Magnet Synchronous Generator Based Wind Energy Conversion
System. Energies, 10(10), 1493. https://doi.org/10.3390/en10101493
Wang, J., Bo, D., Ma, X., Zhang, Y., Li, Z., & Miao, Q. (2019). Adaptive back-stepping
control for a permanent magnet synchronous generator wind energy conversion system.
International Journal of Hydrogen Energy, 44(5), 3240–3249.
https://doi.org/10.1016/j.ijhydene.2018.12.023

7. Nonlinear back stepping control for PMSG wind
turbine used on the real wind profile of the
Dakhla-Morocco city (El Mourabit et al., 2020)
T

8. • Matlab/Simulink will be used to model the
entire VSWECS with PMSG.
• Qref will be set to zero for the grid-side
inverter in the simulation.
• The topology of the VSWECS under
investigation in comparison to the PMSG-
connected distribution network. T
• he phase lock loop (PLL) for mains voltage
has been implemented.
• When we use pitch control, power input and
turbine speed become limited.
Modeling and Simulation

9. Expected Outcomes
• Maximum amount of energy produced by wind turbine
system based on PMSG.
• A control system for energy produced by wind turbine
system.
• MATLAB/Simulink modulations of the proposed
methodology.

10. Future Recommendations
• The world is moving towards renewable sources of
energy such as solar power, wind energy etc.
• The permanent magnet synchronous generator
provides efficient techniques to maximize the power
produced by wind turbines.
• The future of the renewable energy sources is greatly
dependent upon the PMSG (permanent magnet
synchronous generator)

11. Resources
• El Mourabit, Y., Derouich, A., El Ghzizal, A., El Ouanjli, N., &
Zamzoum, O. (2020). Nonlinear backstepping control for
PMSG wind turbine used on the real wind profile of the Dakhla-
Morocco city. International Transactions on Electrical Energy
Systems, 30(4), e12297. https://doi.org/10.1002/2050-
7038.12297

12. THANKYOU