This invention relates to the field of
new energy power generation technology and discloses a distributed photovoltaic operation
intelligent management and control platform. Through a cloud-edge collaborative architecture and a closed-
loop design of
perception, transmission, modeling, decision-making, execution, and feedback, it innovatively constructs a triple
coupling model of non-uniform degradation of energy-side components,
energy storage degradation, and time-of-use pricing, and a coupled identification model of dynamic shading and hot spot evolution on the safety side. With the help of LSTM-BP fusion
algorithm, NSGA-III multi-objective optimization
algorithm, and cross-validation mechanism, it accurately quantifies the cross-device
coupling loss and dynamic risk evolution law, effectively solving the core problems in traditional management and control such as accelerated
energy storage loss induced by non-uniform degradation of components and delayed hot spot treatment. It not only achieves a multi-objective
dynamic balance of power generation revenue,
energy storage life,
safety control, and grid friendliness, but also has strong
scenario adaptability and can flexibly cover diverse scenarios such as industrial and commercial, residential, and agricultural photovoltaic complementary projects.