A maximum power point tracking algorithm based on gradient descent method

Solar energy is considered as one of the most effective, less expensive, harmless and less environment pollution effect of renewable energy sources, the problem of using solar power including varying weather condition brings different output power of the photovoltaic (PV) array, which may cause a se...

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Bibliographic Details
Main Authors: Jianpo Zhang, Tao Wang, Huijuan Ran
Format: Conference Proceeding
Language:English
Subjects:
Analytical models
Character generation
Gradient Descent Method
Mathematical model
Maximum Power Point Tracking (MPPT)
Photovoltaic (PV)
Pollution
Power generation
Radio access networks
Renewable energy resources
Solar energy
Solar power generation
Variable Step
Voltage
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Summary:Solar energy is considered as one of the most effective, less expensive, harmless and less environment pollution effect of renewable energy sources, the problem of using solar power including varying weather condition brings different output power of the photovoltaic (PV) array, which may cause a serious waste of solar power, for solving this problem, a Maximum Power Point Tracking (MPPT) strategy is always required to make PV array keep giving maximum power under different environment condition. In this paper, a variable step MPPT based on gradient descent method is proposed for faster and more precise tracking process, a model based on matlab/simulink was established to analysis the performance of the proposed MPPT strategy, simulation results prove that this MPPT method is practical with a better performance than the traditional strategies.
ISSN:1932-5517
DOI:10.1109/PES.2009.5275737