研究目的
To compare the effectiveness of First-order Differential, Perturb and Observe (P&O), and Newton Raphson methods in achieving the maximum power point (MPP) for photovoltaic (PV) applications in a DC microgrid isolated system.
研究成果
The Newton Raphson method demonstrated superior accuracy and speed in achieving the maximum power point (MPP) compared to the First-order Differential and P&O methods, with the smallest power error value of 0.12120%. This makes it the most effective algorithm among the three for PV applications in DC microgrid isolated systems.
研究不足
The study is based on simulation results, which may not fully replicate real-world conditions. The performance of the algorithms may vary with different PV panel specifications and environmental conditions.
1:Experimental Design and Method Selection:
The study compares three MPPT algorithms (First-order Differential, P&O, and Newton Raphson) using a ZETA converter for switching settings in a PV system.
2:Sample Selection and Data Sources:
The PV system specifications include a 100 Watt solar panel with varying irradiation levels and a constant temperature of 25oC.
3:List of Experimental Equipment and Materials:
Includes a ZETA converter, solar panel, and simulation software (PSIM).
4:Experimental Procedures and Operational Workflow:
The simulation involves changing irradiation 12 times to observe the response of each MPPT method.
5:Data Analysis Methods:
The output power and error percentages of each method are compared to determine the most efficient algorithm.
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