研究目的
To develop and validate a modified sine-cosine optimized MPPT algorithm for grid-integrated PV systems under real operating conditions, comparing it with existing PSO and ABC algorithms.
研究成果
The proposed MSCO-based MPPT algorithm demonstrates superior performance with fast convergence, high accuracy, and reduced oscillations compared to PSO and ABC methods. It is effectively implemented using dSPACE, making it suitable for grid-integrated PV systems in industrial and domestic applications.
研究不足
The study is limited to laboratory-scale hardware implementation; real-world scalability and long-term reliability under diverse environmental conditions are not fully addressed. Computational complexity may increase with larger systems.
1：Experimental Design and Method Selection:
The study employs a modified sine-cosine optimization (MSCO) algorithm for MPPT and an adaptive fuzzy sliding mode control (AFSMC) for inverter control, implemented using a dSPACE real-time board. A ZETA converter is used as the DC-DC converter for MPPT functioning.
2：Sample Selection and Data Sources:
PV system data under steady state, dynamic, and partial shading conditions are collected through hardware implementation.
3：List of Experimental Equipment and Materials:
dSPACE real-time board, LA-25P Hall sensors, IRFP460 MOSFET, MUR1520 fast recovery diode, SN74HC73AP buffer IC, HCPL-3120 driver IC, ZETA converter components (inductors, capacitors), PV panels.
4：Experimental Procedures and Operational Workflow:
The Simulink model is interfaced with hardware via dSPACE; PV voltage and current are sensed and processed; MPPT and inverter control algorithms are executed; performance is evaluated under varying insolation and shading.
5：Data Analysis Methods:
Comparative analysis of tracking efficiency and convergence speed with PSO and ABC algorithms using experimental data.
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