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Saturday, 10 July 2021

Fuzzy Logic Controller Based Energy Management (FLCBEM) for a Renewable Hybrid System

ABSTRACT:

In recent days, the use of renewable energy like wind and solar energy is necessary to meet the load demand. It is useful for power generation due to their unlimited existence and environmental friendly nature. This paper deals with the energy management of wind and solar hybrid generation system. Photovoltaic (PV) array, wind turbine, and battery storage are connected via a common current source interface multiple-input DC-DC converter. The Fuzzy logic controller ensures the power management between intermittent renewable energy generation, energy storage, and grid. In order to obtain the maximum power, variable speed control is employed for the wind turbines, and maximum power point tracking (MPPT) algorithm is applied for the photovoltaic system. The grid interface inverter directs the energy drawn from the wind turbine and PV array into the grid by maintaining common dc voltage constant. Simulation analysis of the entire control scheme is carried out using MATLAB Simulink. The simulation results show the control performance and dynamic behavior of the fuzzy controlled photovoltaic/ wind hybrid system.

KEYWORDS:

1.      Renewable energy

2.      Solar energy

3.      Wind energy

4.      Hybrid system

5.      Energy management

6.      Fuzzy logic controller

SOFTWARE: MATLAB/SIMULINK

CONCLUSION:

In this paper, a fuzzy logic controller based solar/ wind hybrid system is proposed for energy management. The effectiveness of the MPPT algorithm is obtained from the proposed hybrid system. DC link voltage is maintained and regulated using the Luo converter. The Luo converter has the potentiality to remove the high-frequency current harmonics in the wind generator. It improves the voltage gain and power density. Using the Fuzzy logic controller (FLC) in the hybrid system reduces the harmonics and the dissipation of power is low. Thus, the performance of the hybrid system increases system reliability, power availability, quality, and operational efficiency. Simulation results obtained from Matlab/Simulink shows that this proposed hybrid system becomes a viable way to produce uninterrupted electrical energy, especially in rural areas.

REFERENCES:

[1] Adel Merabet, Khandker Tawfique Ahmed, Hussein Ibrahim, Rachid Beguenane, and Amer Ghias, “Energy Management and Control System for Laboratory Scale Microgrid based Wind-PV-Battery”, IEEE Transactions on Sustainable Energy, vol. 8, no. 1, pp. 145-154, Jan 2017.

[2] Janviere Umuhoza, Yuzhi Zhang, Shuang Zhao and H.Alan Mantooth, “An Adaptive Control Strategy for Power Balance and the Intermittency Mitigation in Battery-PV Energy System at Residential DC Microgrid Level”, IEEE Applied Power Electronics Conference and Exposition, pp. 1341-1345, Mar 2017.

[3] Junzhi Yu, Chunxia Dou and Xinbin Li, “MAS-Based Energy Management Strategies for a Hybrid Energy Generation System”, IEEE Transactions on Industrial Electronics, vol. 63, no. 6, pp. 3756- 3764, Jun 2016.

[4] Komeil Nosrati, Hamid Reza Mansouri and Hossein Saboori, “Fractional-order PID controller design of frequency deviation in a hybrid renewable energy generation and storage system”, IET Journals, CIRED, vol. 17, no. 1, pp. 1148-1152, Oct 2017.

[5] K. Kumar, N. Ramesh Babu, and K. R Prabhu, “Design and Analysis of RBFN-Based Single MPPT Controller for Hybrid Solar and Wind Energy system”, IEEE Access, vol. 5, pp. 15308-15317, Aug 2017.