Design method of photovoltaic power generation operation and maintenance system
An operation and maintenance system, photovoltaic power generation technology, applied in neural learning methods, information technology support systems, computing and other directions, can solve the problems of waste of resources, low efficiency of photovoltaic arrays, etc., and achieve the effect of convenient maintenance and saving of waste of cleaning resources
Pending Publication Date: 2021-07-23
SOUTH CHINA UNIV OF TECH
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[0003] In view of the low efficiency of manually checking whether the photovoltaic array needs to be cleaned, and the problem that regular robot cleaning may cause waste of resources, this invention proposes a photovoltaic power generation operation and maintenance system and method based on deep learning algorithms, aiming at real-time observation of photovoltaic modules. State, when the photovoltaic array is polluted, it will automatically send an alarm, and at the same time, it can predict the power generation in the future to facilitate power dispatching
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[0051] The present invention will be further described below in conjunction with drawings and embodiments.
[0052] figure 1 Shown is the flow chart of Inception-ResNet-V2 network modeling. The inception-ResNet-V2 network model is relatively deep, so modular modeling and programming are used for the network, which is divided into a backbone module, an Inception-ResNet module and a dimensionality reduction module. Dropout indicates the elimination rule to optimize the network, Inception-ResNet-V2-A, Inception-ResNet-V2-B, Inception-ResNet-V2-C indicate the three branch modules of the network; Reduction-A and Reduction-B dimensionality reduction modules are used to Scale the size of the output of the previous layer to match the input dimension of the connected next layer modules. After the backbone module of the Inception-ResNet-V2 network passes through three convolutional layers, it splits for the first time. One branch enters the pooling layer, and the other branch enters t...
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The invention discloses a design method of a photovoltaic power generation operation and maintenance system. The design method comprises the following steps: establishing an Inception-ResNet-V2 model based on a convolutional neural network and residual connection; compiling a photovoltaic power generation power prediction model based on GRU-Light GBM integration; developing a photovoltaic operation and maintenance system based on an SSM framework; and deploying a photovoltaic operation and maintenance system on a cloud server, responding to an Inception-ResNet-V2 model classification result to a front end to realize pollution alarm and operation and maintenance functions, and responding a GRU-Light GBM model prediction value to the front end to realize a photovoltaic power generation power prediction function. According to the invention, the working state of the photovoltaic array can be observed in real time through the operation and maintenance interface, and whether the photovoltaic power generation system has a fault and whether the photovoltaic array is polluted can be rapidly judged; in addition, the photovoltaic operation and maintenance system provides a photovoltaic power generation power prediction function.
Description
technical field [0001] The invention relates to the technical field of photovoltaic power generation, in particular to a design method for a photovoltaic power generation operation and maintenance system. Background technique [0002] Solar energy is an important clean energy. However, due to the influence of weather, light and other factors, the power generated by photovoltaic power plants is unstable, which is often quite different from the rated power input to the existing power grid. When the photovoltaic power plant is connected to the grid, it may cause harm to the existing power grid affect power dispatch. In addition, solar panels are often directly exposed to the external environment in order to absorb light energy. Therefore, their surfaces are often polluted by dust, fallen leaves, bird droppings and other pollutants, which reduces the working efficiency of solar cells. Therefore, the establishment of a photovoltaic power generation operation and maintenance sys...
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IPC IPC(8): G06Q50/06G06Q10/00G06Q10/04G06Q10/06G06N3/08G06N3/04
CPCG06Q50/06G06Q10/20G06Q10/04G06Q10/067G06N3/08G06N3/045Y04S10/50
Inventor 薛家祥高鹏陈海峰
Owner SOUTH CHINA UNIV OF TECH