Hybrid Wind/PV/Battery Energy Management-Based Intelligent Non-Integer Control for Smart DC-Microgrid of Smart University IEEE Electrical Projects

ABSTRACT:

Global environmental changes, nuclear power risks, losses in the electricity grid, and rising energy costs are increasing the desire to rely on more renewable energy for electricity generation. Recently, most people prefer to live and work in smart places like smart cities and smart universities which integrating smart grid systems. The large part of these smart grid systems is based on hybrid energy sources which make the energy management a challenging task. Thus, the design of an intelligent energy management controller is required. The present paper proposes an intelligent energy management controller based on combined fuzzy logic and fractional-order proportional-integral-derivative (FO-PID) controller methods for a smart DC-microgrid. The hybrid energy sources integrated into the DC-microgrid are constituted by a battery bank, wind energy, and photovoltaic (PV) energy source. The source-side converters (SSCs) 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 super twisting fractional-order controller.

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:

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[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.

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