An Effective Battery Energy Management System in Hybrid Solar/Wind System Using ANFIS Controlled Bi-Directional DC-DC Converter 
M. Nagaiah1, K. Chandra Sekhar2
1M. Nagaiah*, Research Scholar, Department of Electrical and Electronics Engineering, Acharya Nagarjuna University, Guntur, India.
2Dr. K. Chandra Sekhar, Professor, Department of Electrical and Electronics Engineering, RVR & JC College of Engineering, Guntur, India.

Manuscript received on November 6, 2019. | Revised Manuscript received on November 20, 2019. | Manuscript published on 30 November, 2019. | PP: 4158-4158 | Volume-8 Issue-4, November 2019. | Retrieval Number: D6876118419/2019©BEIESP | DOI: 10.35940/ijrte.D6876.118419

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Abstract: This paper proposes and evaluates an adaptive neuro-fuzzy inference system (ANFIS) based battery energy management system (BEMS). The proposed configuration consists of photovoltaic (PV) and wind energy conversion system (WECS) based hybrid renewable energy system as the primary source and battery system as the energy storage device. The all the primary sources is connected to the DC bus by a DC/DC converter whereas, Battery storage system is connected using Bi-Directional system for charging and discharging purpose. An ANFIS based supervisory control system is proposed in this paper which determines effective battery management system by analyzing the power demand by the load and the state of charge (SOC) of the battery furthermore, an fuzzy logic controller (FLC) based maximum power point tracking (MPPT) is used in the PV and wind energy conversion system (WECS) to track the maximum available power for the different irradiance and wind velocity respectively. The obtained results are compared with the fuzzy logic-based energy management system to test the effectiveness of the system. A 500 W PV system and a 500 W Permanent magnet synchronous generator (PMSG) based WECS is implemented for its simplicity and high efficiency. The proposed control topology is designed and tested using MATLAB/Simulink.
Keywords: Adaptive neuro-fuzzy inference system, Wind energy, Permanent Magnet Synchronous Generator, Battery Management system.
Scope of the Article: Data Base Management System.