Table 1 Comparison of advanced MPPT approaches for wind System.
From: Intelligent MPPT and coordinated control for voltage stability in brushless DFIG wind turbines
S.no | Author/Year of Publication | Methodology Used | Merits | Demerits |
|---|---|---|---|---|
1 | 50Mohammad Mahdi Rezaei et al., (2018) | Adaptive Backstepping Control Method For MPPT In DFIG-Based WECS. | Robustness, Sensor control and Adaptive control | Slow response time |
2 | Sobhy S. Dessouky et al., (2018)51 | Perturb and Observe technique for MPPT | Cost-Effective, Efficient Power Extraction and Simulation-Based Validation | Sensitivity to Parameter Variations |
3 | Yuliang Sun et al., (2018)52 | Coordination of Feedback Linearization Techniques (CFLS) for DC-oriented DFIG system to track the MPP. | Single-Loop Control, Decoupling Control and Superior Performance. | Limited adaptability to changing operating conditions. |
4 | Essam.H.Abdouet al., (2019)53 | Adaptive Perturb and Observe (AD-PO) MPPT | Improved Performance, Adaptive Step Size and Validation | Difficulty in tuning parameters for different wind conditions. |
5 | S. Souedet al., (2019)54 | Metaheuristic Optimization Techniques (MOTs): The ABC algorithm and GWO are two examples of MOTs algorithm to achieve MPPT for the WECS | Enhanced MPPT, Dynamic Performance Improvement and Simulation Validation | Potential for convergence to suboptimal solutions. |
6 | Arjun Kumar GB et al., (2020)55 | Implementing Algorithms for the MPPT of wind and solar energy | Reduced Grid Dependence, Efficiency Improvement, Grid Stability and Environmental Benefits | Increased complexity in system integration. |
8 | Muhammad Zafran et al., (2020)56 | Fast Dynamic Terminal Sliding Mode Control (Fdtsmc)-Based Maximum Power Point Tracking (Mppt) | Optimized Power Extraction, Performance Comparison, Global Robustness and Simulation Validation | Potential for instability under sudden load changes. |
9 | Jie Wang et al., (2022)57 | Fixed-Time Observer, Optimal Torque Control, Adaptive Controller for Fixed-Time Non-singular Terminal Sliding Mode and Stability Analysis | Elimination of Wind Speed Sensors, Robustness and Efficiency | Higher computational resource requirements |
10 | Shivaji Ganpat Karad et al., (2022)58 | A modified A FOPID controller-based incremental conductance (INC) For a wind turbine system based on a doubly fed induction generator (DFIG), a maximum power point tracking (MPPT) controller is recommended | Efficiency, Optimization and Adaptability | Challenges in maintaining stability under varying wind conditions |
11 | Boni Satya Varun Sai et al., (2022)59 | Swarm Optimization of Particles (SSM-PSO): A Proposed Method for Tracking Maximum Power Points (MPPT) in a DFIG-based web-enabled communications system | Improved Dynamic Characteristics, Weather Insensitive and Faster Response | Increased convergence time. |
12 | Sara Kadi et al., (2023)60 | DFIG-based wind power conversion systems with dependable nonlinear chattering-free third-order sliding mode control (TOSMC). | Chattering-Free Control, Improved Power Quality, Enhanced Response Time and Robustness | Complexity in implementation and tuning. |
13 | Jang-Hyun Park et al., (2023)61 | Higher-Order Switching Differentiator (HOSD-based MPPT controller for a WECS with a DFIG | Reduced Need for System Information, Simplified Controller Design and Efficient MPPT and Reactive Power Regulation | Limited robustness to variations in wind speed. |
