Photovoltaic maximum power point tracking method based on DE-GWO algorithm

A technology of maximum power point and algorithm, which is applied to instruments, control/regulation systems, and electrical variables, etc. It can solve the problems of large randomness and slow convergence speed of local maximum power point search results.

Active Publication Date: 2022-07-05
CHINA THREE GORGES UNIV
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Problems solved by technology

The bio-inspired algorithm can effectively track the global maximum power point, but it also has the disadvantages of slow convergence speed, easy to fall into the local maximum power point and large randomness of search results

Method used

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  • Photovoltaic maximum power point tracking method based on DE-GWO algorithm
  • Photovoltaic maximum power point tracking method based on DE-GWO algorithm
  • Photovoltaic maximum power point tracking method based on DE-GWO algorithm

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Embodiment Construction

[0074] Principle analysis:

[0075] (1): Considering that partial shading makes the output power of the photovoltaic array unable to reach the theoretical maximum power point, the reason is that the traditional MPPT algorithm is easy to fail when tracking the maximum power point, and the tracking efficiency is reduced. In order to further verify that the output characteristic curve of the photovoltaic array under partial shading conditions presents a multi-peak phenomenon, a simulation model of the photovoltaic array is established, different irradiation conditions are set, and the power data under different irradiation conditions are obtained to prepare for the analysis of the MPPT algorithm.

[0076] (2): Build a complete simulation model of the photovoltaic power generation system on the basis of the photovoltaic array in (1) above, and determine the parameters in the simulation model according to the simulation models of a large number of references. The parameter content ...

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Abstract

The invention discloses a DE-GWO algorithm-based photovoltaic maximum power point tracking method. The method comprises the following steps of 1, building a photovoltaic power generation system simulation model; step 2, for a DE algorithm, adopting a self-adaptive value for a scaling factor F; for the GWO algorithm, the parameter vector A is improved, the DE algorithm and the GWO algorithm are applied to an MPPT module, the DE algorithm is applied to carry out global search, and the GWO algorithm is used to carry out local search; 3, constructing a hybrid algorithm based on a DE algorithm and a GWO algorithm; and 4, verifying the tracking performance of the hybrid algorithm constructed in the step 3 under different shading conditions through the photovoltaic power generation system simulation model constructed in the step 1, and analyzing the tracking efficiency of the hybrid algorithm. According to the photovoltaic maximum power point tracking method based on the DE-GWO algorithm, global maximum power point tracking can be completed under different partial shading conditions, and the algorithm is simple and easy to implement.

Description

technical field [0001] The invention relates to the technical field of photovoltaic system maximum power point tracking MPPT, in particular to a photovoltaic maximum power point tracking method based on DE-GWO algorithm. Background technique [0002] Renewable energy is the key to solving the reduction of fossil fuel resources and environmental problems. As a new renewable energy, solar energy has the characteristics of sustainability, wide distribution and low carbon. The volt-ampere characteristic equations of photovoltaic cells are multi-modal, and the current-voltage (I-V) and power-voltage (P-V) characteristic curves are nonlinear. Under uniform irradiation conditions, there is a maximum power point (MPP) for the I-V and P-V characteristic curves, and the MPP varies with the environment. In practice, the irradiance received by photovoltaic modules is no longer uniform due to the influence of weather or other factors, such as clouds, dust or shadows from adjacent buildi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05F1/67
CPCG05F1/67Y02E10/56
Inventor 缪书唯杨永康蒋晨李书璇周海涛熊昊然
Owner CHINA THREE GORGES UNIV
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