With the increase of domestic electrical equipment, the incidence of electrical fires has also increased, and research on fault arc detection has become a hot topic today. In this paper, a method combining variational mode decomposition (VMD), and extreme learning machine (ELM) is proposed to detect arc faults accurately. The characteristic signals of the resistance, capacitance and inductive load under normal conditions and arc fault conditions were collected by experiments. Then, the current data was processed by variational mode decomposition (VMD). Due to the different spectral characteristics of normal mode, arc fault mode and switching transient mode, the intrinsic mode function (IMF) under arc fault mode can be selected. Finally, according to the characteristic of determined IMF components, a new arc fault criterion was proposed for general DC arc detection. The experimental results verified that the proposed method can detect arc faults accurately.

To ensure the safe and reliable operation of the distribution network system, this paper analyzes the fault diagnosis of 10kV ring net switch cabinet, introduces the concept and advantages of edge computing, and then proposes a new fault diagnosis system of 10kV ring net switch cabinet based on edge computing. This paper also introduces the overall design of the system and the design of each part, and finally makes a contrastive analysis with the traditional fault diagnosis methods of the ring net switch cabinet.

In this paper, the finite element software COMSOL is used to establish a two-dimensional simplified vacuum arc model, and the parameters are set in COMSOL to set the conditions. A transverse magnetic field is applied between the two contacts, and the transverse magnetic field can cause the arc to burn in one direction, reducing the ablation of the contacts by the arc. In this paper, the process of arc motion under different magnetic field strengths is studied. The trajectory of arc motion can be seen, reflecting the movement state of the arc at different moments and the comparison of the maximum contact temperature.

With the rapid development of integrated energy system and microgrid technologies, aiming at the operational safety problems caused by the uncertainty of the sources and loads, this paper proposed a robust optimal scheduling model of the multiple integrated energy microgrids considering sources and loads uncertainty. In order to minimize the total operating cost of the multiple microgrids, the interconnection lines were introduced into the multiple microgrids for joint operation, on the basis of renewable energy outputs and multi-energy loads prediction, the uncertainty of sources and loads were characterized and the established model were solved. The results of an example showed that the proposed method can effectively improve the economy of multiple microgrids and reduce the risk caused by the uncertainty of sources and loads, thus verified the effectiveness and feasibility of the proposed method.

Aiming at the uncertainty output of intermittent energy stations in new ecological energy towns, this paper proposes a risk trading scheme based on the cooperative game mode of multi-energy station main interests. Combining wind power and photovoltaic power generation through the risky electricity trading between different energy stations and take full advantage of the natural complementarity between wind and solar energy in time and region, which is expected to reduce the risk of wind power and PV forecast deviation. At the same time, in view of the different load characteristics of cold/heat/electricity and play the coordination and complementary capabilities, which can realize coordinated control of new ecological energy stations. Finally, the proposed method are verified by simulation.