Graphene capacitor design and capacitor capacity control based on intelligent algorithm

The invention discloses a graphene capacitor design and capacitor capacity control method based on an intelligent algorithm. Based on the characteristics of the graphene material, the design of the related capacitor and the research on the control strategy of the capacitor capacity are carried out. Firstly, the advantages of a graphene material are exerted, and an original five-layer graphene capacitor design is carried out. a control circuit and a control strategy are designed and tested, and a support vector machine (SVM), a k-Nearest Neighbor (kNN) and a back propagation (BP) neural network (BPNN) are employed for analysis and verification. Experiments prove that within the experimental range, the BP neural network algorithm can well predict various errors and interferences. The invention provides a graphene capacitor design and capacitor capacity control method based on an intelligent algorithm, the compensation effect of a static var generator (SVG) is achieved, the power consumption is extremely low, an