Renewable Energy Based Smart Microgrid System using Artificial Bee Colony Algorithm Optimized PI Controller and Efficient LUO

Anbarasu, L.; Subramanian, R; Karthikeyan, V.

doi:10.46719/dsa202130810

Cited by 1 publication

(1 citation statement)

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“…A hybrid renewable energy source that was incorporated into the grid was proposed in [16]. e LUO converter, which was controlled by an optimized PI controller, was employed to maintain a steady DC link voltage.…”

Section: Related Workmentioning

confidence: 99%

A Bridgeless LUO Converter with Glowworm Swarm Optimized Tuned PI Controller for Electrical Applications

Sivaramkrishnan

Ramkumar

et al. 2022

Mathematical Problems in Engineering

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The synchronous reluctance motor (Sync-RM) is known for its higher reliability, faster dynamic response, higher efficiency, higher speed range, higher power density, and higher torque per ampere. Consequently, the scope of research into emerging Sync-RMs drive system has been extended. For different kinds of mechanical and electrical applications, motors are important components of any machine or tool. There are several types of motors available for various kinds of industrial applications, but the benefits of Sync-RM in medium- and low-power applications have eventually been very efficient compared to other motor types, regarding the factors such as high flux density per unit volume, high efficiency, requirements of low maintenance, and low electromagnetic obstruction. This research proposed a Sync-RM drive fed by a bridgeless LUO converter (BLLC) using the Glowworm Swarm Optimization (GSO) tuned proportional integral (PI) controller. High competence, higher power density, and a small structure of the motor drive are delivered by the PI-tuned converter. The output voltages are related to the Sync-RM motor of the proposed converter. Due to its minimum effort and modest development, the Sync-RM here is chosen for the drive. The proposed Sync-RM drive framework based on the LUO converter was evaluated by simulation using the Matlab/Simulink tool.

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Section: Related Workmentioning

confidence: 99%