A Novel GWO-CSA Based IOT Enabled Maximum Power Point Tracking System for Operational Efficiency Enhancement of Solar Photovoltaic Energy System
Author:
Affiliation:
1. Department of Electrical and Electronics Engineering, Poornima University, India
2. Department of Electrical Engineering, King Khalid University, Saudi Arabia
3. Department of Mechanical Engineering, King Khalid University, Saudi Arabia
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3647444.3652444
Reference46 articles.
1. Meta-heuristic Optimization of the Neuro-Fuzzy MPPT Controller for PV Systems Under Partial Shading Conditions;Paul Abena Malobe;Journal of Solar Energy Research,2023
2. A comprehensive analyses with new findings of different PSO variants for MPPT problem under partial shading
3. An Effective Falcon Optimization Algorithm Based MPPT Under Partial Shaded Photovoltaic Systems
4. Priyadarshi, Neeraj, Sanjeevikumar Padmanaban, Mahajan Sagar Bhaskar, Farooque Azam, Baseem Khan, and Mohamed G. Hussien. "A Novel Hybrid Grey Wolf Optimized Fuzzy Logic Control Based Photovoltaic Water Pumping System." IET Renewable Power Generation (2022).
5. Design & Development of MPPT Using PSO With Predefined Search Space Based on Fuzzy Fokker Planck Solution
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