ABSTRACT:
KEYWORDS:
1. Renewable
energy
2. Smart
university
3. DC-microgrid
4. Energy
management control
5. Fuzzy
logic control
6. Fractional
order control
SOFTWARE: MATLAB/SIMULINK
SCHEMATIC DIAGRAM:
Figure 1. Studied Hybrid System
Structure.
EXPECTED SIMULATION RESULTS:
Figure 2. Wind Speed.
Figure 3. Wind Power.
Figure 4. Solar Power.
Figure 5. Sscs Power.
Figure 6. Bss Power.
Figure 7. The Battery Soc.
Figure 8. Dc-Link Voltage.
Figure 9. Load Power.
Figure 10. Load Voltage.
Figure 11. Random Wind Speed.
CONCLUSION:
In
this paper, a novel intelligent fractional order PID controller is proposed for
the Energy management of hybrid energy sources contacted to a smart grid
through a DC-link voltage. The hybrid energy sources integrated to the
DC-microgrid are constituted by a battery bank, wind energy, and photovoltaic
(PV) energy source. The source side converters (SCCs) are controller by the new
intelligent fractional order PID strategy to extract the maximum power from the
renewable energy sources (wind and PV) and improve the power quality supplied
to the DC-microgrid. To make the microgrid as cost-effective, the (Wind and PV)
energy sources are prioritized. The proposed controller ensures smooth output
power and service continuity. Simulation results of the proposed control schema
under Matlab/Simulink are presented and compared with the other nonlinear
controls. Extensive comparative analysis with super twisting fractional order
control, FO-PID and PID is demonstrated in Table 3, where it can be seen that
the proposed strategy generates more power and show high performance over the
proposed control strategies. From the present comparative analysis, the
proposed controller producesC3.15% wind power,C50% PV power,C2.5% load power
over the super twisting fractional-order and more when compared to the PID
control. Future works will be focused on the experimental validation of the
proposed control with a real test bench.
REFERENCES:
[1] H. T. Dinh, J. Yun, D. M. Kim, K. Lee, and D. Kim, ``A home
energy management system with renewable energy and energy storage utilizing main
grid and electricity selling,'' IEEE Access, vol. 8, pp. 49436_49450, 2020.
[2] C. Byers and A. Botterud, ``Additional capacity value from
synergy of variable renewable energy and energy storage,'' IEEE Trans.
Sustain. Energy, vol. 11, no. 2, pp. 1106_1109, Apr. 2020.
[3] M. Rizwan, L. Hong, W. Muhammad, S. W. Azeem, and Y. Li,
``Hybrid Harris Hawks optimizer for integration of renewable energy sources considering
stochastic behavior of energy sources,'' Int. Trans. Elect. Energy Syst.,
vol. 31, no. 2, 2021, Art. no. e12694, doi: 10.1002/2050-
7038.12694.
[4] Y. Sun, Z. Zhao, M. Yang, D. Jia,W. Pei, and B. Xu, ``Overview
of energy storage in renewable energy power _uctuation mitigation,'' CSEE J.
Power Energy Syst., vol. 6, no. 1, pp. 160_173, 2020.
[5] T. Salameh, M. A. Abdelkareem, A. G. Olabi, E. T. Sayed, M. Al-Chaderchi,
and H. Rezk, ``Integrated standalone hybrid solar PV, fuel cell and diesel
generator power system for battery or supercapacitor storage systems in
khorfakkan, united arab emirates,'' Int. J. Hydrogen Energy, vol. 46,
no. 8, pp. 6014_6027, Jan. 2021.