This
paper proposes an energy management and control system for laboratory scale
microgrid based on hybrid energy resources such as wind, solar and battery.
Power converters and control algorithms have been used along with dedicated
energy resources for the efficient operation of the microgrid. The control
algorithms are developed to provide power compatibility and energy management
between different resources in the microgrid. It provides stable operation of
the control in all microgrid subsystems under various power generation and load
conditions. The proposed microgrid, based on hybrid energy resources, operates
in autonomous mode and has an open architecture platform for testing multiple
different control configurations. Real-time control system has been used to
operate and validate the hybrid resources in the microgrid experimentally. The
proposed laboratory scale microgrid can be used as a benchmark for future
research in smart grid applications.
KEYWORDS:
1.
Wind energy
2.
Solar energy
3.
Conversion
4.
Storage
5.
Hybrid system
6.
Control
7.
Energy
management
SOFTWARE: MATLAB/SIMULINK
BLOCK DIAGRAM:
Fig.
1. Components of the laboratory scale experimental microgrid
EXPECTED SIMULATION RESULTS:
Fig.
2. Wind turbine-generator speed
Fig.
3. PV module current
Fig.
4. DC-link voltage
Fig.
5. Battery current
Fig.
6. Power at different locations in the microgrid (variable wind power)
Fig.
7. Battery state of charge
Fig.
8. Load Voltage
Fig.
9. Power at different locations in the microgrid (variable wind power)
Fig.
10. Battery current
Fig.
11. Battery state of charge
Fig.
12. DC-bus voltage
Fig.
13. Load Voltage
CONCLUSION:
A
laboratory scale experimental microgrid of distributed renewable energy sources
with battery storage and energy management and control system is developed in
this paper. The experimental setup is flexible and allows testing difference power
electronics interfaces and combinations. The control software is open source in
order to implement different control strategies. This tool contributes to the
enhancement of education and research the field of renewable energy and
distributed energy systems.
REFERENCES:
[1] A. Bari, J.
Jiang, W. Saad and A. Jaekel, “Challenges in the Smart Grid Applications: An
Overview,” Int. J. of Distributed Sensor Networks, pp.1–12, 2014.
[2] M. B. Shadmand
and R. S. Balog, “Multi-objective optimization and design of photovoltaic-wind
hybrid system for community smart DC microgrid,” IEEE Trans. Smart Grid,
vol. 5, no. 5, pp. 2635–2643, Sep. 2014.
[3] M. J. Hossain,
H. R. Pota, M. A. Mahmud and M. Aldeen, “Robust control for power Sharing in
microgrids with low-inertia wind and PV generators,” IEEE Trans. Sustain.
Energy, vol. 6, no. 3, pp. 1067–1077, Jul. 2015.
[4] Zaheeruddin
and M. Manas, “Renewable energy management through microgrid central controller
design: an approach to integrate solar, wind and biomass with battery,” Energy
Reports, vol. 1, pp.156–163, 2015.
[5] A. Tani, M. B.
Camara and B. Dakyo, “Energy management in the decentralized generation systems
based on renewable energy—ultracapacitors and battery to compensate the
wind/load power fluctuations,” IEEE Trans. Ind. Appl., vol. 51, no. 2,
pp. 1817–1827, 2015.
