GWO Based MPPT algorithm for PV System

版本 1.0.01 (4.4 KB) 作者: PIRC

Grey Wolf Optimizer (GWO) algorithm for Maximum Power Point Tracking (MPPT) in a 1 KW Solar PV System

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更新时间 2023/8/19

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Grey Wolf Optimizer (GWO) algorithm for Maximum Power Point Tracking (MPPT) in a 1 KW Solar PV System. Here's a short explanation of how the code works:

Constants and Parameters: The code starts by defining constants related to the solar panel's characteristics and the GWO algorithm's parameters. These include the rated power, open circuit voltage (Voc), short circuit current (Isc), voltage at maximum power point (Vmp), and current at maximum power point (Imp), as well as parameters like the number of wolves, maximum iterations, and scaling factors.
Initialization: The positions of the wolves (representing potential solutions) are initialized randomly within a specified voltage range around the Vmp. Each wolf's position is essentially a voltage value.
GWO Loop: The main loop runs for a set number of iterations. In each iteration, the fitness of each wolf (solution) is calculated using a formula that represents the deviation from the expected power output. This fitness is related to how well the solution tracks the maximum power point.
Alpha, Beta, and Delta Wolves: The wolves with the three lowest fitness values are identified as the alpha, beta, and delta wolves, representing the best-performing solutions. These wolves guide the other wolves towards better solutions.
Update Positions: For each wolf, new positions are calculated based on equations that involve the alpha, beta, and delta wolves' positions. These equations are designed to mimic the hunting behavior of grey wolves and help explore the search space for better solutions.
Position Boundaries: The new positions are bounded to stay within the defined voltage range to ensure physical feasibility.
Dampening Alpha: The alpha parameter (representing the influence of the alpha wolf) is gradually dampened over iterations. This helps balance exploration and exploitation during the optimization process.
MPPT Calculation: After the loop finishes, the voltage, current, and power at the MPPT point are calculated using the position of the best wolf found during the optimization process.
Display Results: The code then prints out the MPPT voltage, current, and power.

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引用格式

PIRC (2024). GWO Based MPPT algorithm for PV System (https://www.mathworks.com/matlabcentral/fileexchange/133852-gwo-based-mppt-algorithm-for-pv-system), MATLAB Central File Exchange. 检索来源 2024/4/27.