Simulation of Incremental Conductance MPPT for Solar PV System PART 1
Simulation of Incremental Conductance MPPT for Solar PV System PART 1
Introduction
We delve into the MATLAB implementation of the Incremental Conductance Maximum Power Point Tracking (MPPT) algorithm for solar photovoltaic (PV) systems.
Understanding Incremental Conductance MPPT
The Incremental Conductance algorithm focuses on determining the maximum power point (MPP) of a solar PV system by analyzing the power-voltage (PV) characteristics.
The algorithm divides the PV curve into two areas:
Left Side:Â Where the slope of power (dP/dV) is greater than zero.
Right Side:Â Where the slope is less than zero, with the condition at MPP being dP/dV = 0.
Key Equations and Concepts
The algorithm operates on the differentiation of power concerning voltage, leading to the equation:
dPdV=I+VdIdV\frac{dP}{dV} = I + V \frac{dI}{dV}dVdP​=I+VdVdI​
The behavior of this equation helps identify whether the operating point is on the left or right of the MPP.
Evaluating Operating Points
Three operating points are defined (P1, P2, P3) to assess changes in voltage and power:
If transitioning from P2 to P1 results in a negative voltage difference and power difference, the ratio remains positive, indicating movement towards the MPP.
Conversely, moving from P2 to P3 results in positive changes, further confirming movement towards the MPP.
Algorithm Flowchart and Logic
The algorithm starts by measuring the instantaneous voltage and current of the solar PV system.
It then checks if the system is already at MPP:
If the voltage change (ΔV) equals zero, the system maintains its voltage.
If not, it assesses whether to increase or decrease voltage based on the calculated slope.
Adjustments are made until the MPP is achieved, utilizing a feedback loop to monitor changes in current and voltage.
Conclusion
The Incremental Conductance MPPT algorithm is a vital tool for optimizing the performance of solar PV systems.
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