Optimizing Wind Energy Efficiency in IoT-Driven Smart Power Systems Using Modified Fuzzy Logic Control-Reference-Cited by-同舟云学术

Optimizing Wind Energy Efficiency in IoT-Driven Smart Power Systems Using Modified Fuzzy Logic Control

Published:2024-03-15 Issue: Volume: Page:250-273
ISSN:2327-0411
Container-title:Advances in Computational Intelligence and Robotics
language:
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Author:

Jayapalan Booma¹^ORCID,Sathishkumar Ramasamy²^ORCID,Prakash I. Arul³,M. Venkateswaran⁴^ORCID

Affiliation:

1. PSNA College of Engineering and Technology, India

2. SRM TRP Engineering College, Trichy, India

3. SBM College of Engineering and Technology, Dindigul, India

4. Lendi Institute of Engineering and Technology, Vizianagaram, India

Abstract

In the quest for sustainable energy sources, wind generators (WGs) have emerged as a promising solution to provide power for remote and grid-connected applications within IoT-enabled smart power systems. This research underscores the significance of wind energy as a valuable and sustainable energy source in the context of IoT-enabled smart power systems and delves into optimizing its utilization. Specifically, The authors introduce a novel approach to address the limitations of conventional hill climbing search (HCS) methods by incorporating a modified fuzzy logic-based HCS algorithm. The results unequivocally demonstrate that this proposed algorithm significantly enhances efficiency, consistently achieving an impressive efficiency rating of approximately 95% across diverse wind conditions. These findings mark a significant stride towards realizing the full potential of wind energy as a reliable and sustainable energy source within the context of IoT-connected smart power systems, paving the way for a greener and smarter energy future.

Publisher

IGI Global

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