Power management of bidirectional inter-allied  converter community in hybrid AC/DC microgrid using localised distributed fuzzy logic controller

In this paper, the authors have addressed the modeling and design of the BLDC Motor-Driven E-Rickshaw based on hybrid energy storage system for optimum power management using fuzzy logic. In Hybrid energy sources, solar power is used to charge a battery (primary source) that is effectively coupled to an ultra-capacitor (ancillary source) for peak demand supplies. A power-split control strategy is proposed to control the power supply by using the HESS Fuzzy Logic in different engine operating modes. Projected power layering improves the battery life cycle with the proper use of the Ultra-capacitor. A new renewable braking system (RBS) is proposed for HESS EV’s powered by a brushless DC (BLDC) engine. The electrical energy available during regenerative braking is stored in a supercapacitor battery. By providing a new switching algorithm, the DC link voltage is boosted to effectively transfer power to the HESS unit. The fuzzy logic technique is used as a braking force distribution system to ensure effective and smooth braking operations. Fuzzy logic-based HESS provides better performance in electric vehicles, such as highly efficient regenerative braking, deep discharge protection of the battery, and faster acceleration. Also, there is a quick comparison of E-rickshaw solar power with traditional E-rickshaw. The planned design model was simulated by MATLAB®/Simulink environment.

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Fuzzy logic power management for a PV/Wind microgrid with backup and storage systems

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v11i4.pp2876-2888 ◽

2021 ◽

Vol 11 (4) ◽

pp. 2876

Author(s):

Aysar M. Yasin ◽

Mohammed F. Alsayed

Keyword(s):

Fuzzy Logic ◽

Power Management ◽

Fuzzy Logic Controller ◽

Storage System ◽

Harmonic Distortion ◽

Deterministic Approach ◽

Diesel Generator ◽

Power Sources ◽

Management Scheme ◽

Dc Bus

<span>This work introduces a power management scheme based on the fuzzy logic controller (FLC) to manage the power flows in a small and local distributed generation system. The stand-alone microgrid (MG) includes wind and PV generators as main power sources. The backup system includes a battery storage system (BSS) and a diesel generator (DG) combined with a supercapacitor (SC). The different energy sources are interconnected through the DC bus. The MG is modeled using MATLAB/Simulink Sim_Power System™. The SC is used to compensate for the shortage of power during the start-up of the DG and to compensate for the limits on the charging/discharging current of the BSS. The power balance of the system is the chief objective of the proposed management scheme. Some performance indexes are evaluated: the frequency-deviation, the stability of the DC bus voltage, and the AC voltage total harmonic distortion. The performance of the planned scheme is assessed by two 24-hours simulation sets. Simulation results confirm the effectiveness of FLC-based management. Moreover, the effectiveness of the FLC approach is compared with the deterministic approach. FLC approach has saved 18.7% from the daily load over the deterministic approach. The study shows that the quality of the power signal in the case of FLC is better than the deterministic approach.</span>

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