Aiming at the problem of fault diagnosis after the UHVDC system fails, a deep learning-based UHVDC fault diagnosis method under the cloud-edge architecture is proposed. First, based on the edge computing framework of the “cloud” + “edge terminal,” a four-layer fault diagnosis structure including the data integration layer, edge prediction layer, cloud diagnosis layer, and human-computer interaction layer is constructed. Then, a fault data set is constructed by finding effective information that can fully reflect the DC fault in the huge power grid environmental information, and the data set is screened, processed by classification feature fields, and linearly normalized. Finally, a deep convolutional generative adversarial network (DCGAN) is constructed by introducing a deep convolutional neural network (DCNN) into the traditional generative adversarial network (GAN) for data training and DC fault diagnosis. In addition, the corresponding process is given. The proposed method and the other three methods are compared and analyzed by simulation experiments. The results show that the method proposed has the highest accuracy and smallest error loss value of 95.6% and 0.18, respectively. It has the highest diagnosis accuracy under different fault types, and its performance is better than the other three comparison methods.
With the technological development of the smart grid, the demand response technology will develop to enhance the security, stability and economy of power system. This paper proposes a new energy efficiency management system and control strategy of grid-friendly-based intelligent electricity. Air conditioning is one of the grid-friendly intelligent electricity, the peak and trough demand of power and the appropriate electricity prices can be defined according to its operation features. By using the real-time electricity prices and the characteristics of load to regulate the consumption of electricity, the purpose of peak load shifting and improving the load curve can be achieved. Under the cooperation of the smart gateway, smart socket and smart terminal, the management system could achieve the intelligent control for air conditioning, and make it a grid-friendly electrical equipment. A small monitoring experimental system has been developed as shown in the demonstration, which presents the working circumstances at the present stage.
Based on smart grid area, heat-exchange network is used together with multi-energy analysing method. Also, pinch technology is optimized, considering many kinds of load, such as cold, heat, electric and illumination. What is more, KW is used in heat-exchange network, as a bridge leading to other kinds of energy. A regional smart grid pinch technology is proposed in this paper, which is also useful in many kinds of users, such as hospital, school, super marcket, community and so on.
Arc protection device plays an important role in ensuring the faults of switchgear in substation. This paper analyses the operation problems of switchgear in substation, analyses the characteristics and necessity of arc protection device, expounds the principle and system structure of arc protection, and puts forward the design method of arc protection, which can quickly remove the faults in the operation of substation, and ensures that guarantee the safe and stable operation of substation.
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