In order to improve the efficiency of identification and diagnosis of distribution network line faults and improve the reliability of power supply, this paper adopts a method based on wavelet entropy to construct a distribution network line operating condition characteristic gene bank. Firstly, the distribution network line simulation model is built to extract the operation data, and then, combined with the effective simulation data, the feature extraction algorithm model based on wavelet entropy is built, and finally, the characteristic gene bank is developed based on the feature data. The simulation results show that the feature extraction algorithm and characteristic gene bank based on wavelet entropy can effectively identify and diagnose a variety of operating conditions of distribution network lines, which meets the requirements of sustainable development of distribution network.

In recent years, active phased array radar has imposed increasingly demanding requirements in aspects such as size, weight, and power density, presenting considerable challenges to the volume, power, and heat dissipation of the transmitter and receiver components. This paper proposes a thermal-electric co-design scheme for high density integrated transmitter and receiver components and designs a system in package with high efficiency heat dissipation, high output power, and high integration to achieve the transmitter and receiver front-end functions of the components which has been verified in the components.

As the distribution network industry evolves towards greener and low-carbon solutions, environmentally friendly gases are progressively substituting traditional SF₆ gas as the insulation medium for medium-voltage inflatable cabinets. Given the limitations associated with the insulation efficacy of currently used environmentally friendly gases and the challenges related to the sustainable recycling of epoxy resin insulation components, this paper introduces an environmentally friendly insulation model that utilizes thermoplastic materials and integrated injection molding technology, specifically applied to 12kV dry air insulated inflatable cabinets. Through mechanical simulations, the study confirms that the mechanical properties of the proposed insulation model meet the required standards. Additionally, electric field simulations optimize the insulation model’s structure, effectively reducing the localized maximum electric field intensity and enhancing insulation performance. Finally, the insulation reliability of the environmentally friendly insulation model is substantiated through comprehensive insulation test and partial discharge assessments.

Large-scale electric vehicles are connected to the park integrated energy system (PIES), in order to improve the energy utilization rate, reduce the pressure on the park’s power grid, and realize low-carbon operation, this paper proposes a two-tier low-carbon optimized operation strategy that combines electric vehicles and efficient hydrogen use. Firstly, the disordered charging of the electric vehicles is simulated based on the spatio-temporal feature correlation, on the basis of which real-time tariffs are utilized to guide the electric vehicles for orderly charging. Combining the improved power-to-gas (P2G) two-phase technology, the park participates in the carbon trading market. The laddering carbon trading mechanism is introduced to minimize the system’s cost of purchasing energy, the cost of carbon trading, and the cost of abandoning the wind as a target function. The improved whale optimization algorithm (IWOA) is adopted for solving the problem. Finally, the scenarios are compared to verify the economy and environmental benefits of the two-tier optimal scheduling strategy proposed in this paper.

This paper proposes a DC distribution network fault location method combining current integral variation trend and temporal convolutional network (TCN)-support vector machine (SVM), to distinguish and locate DC distribution network faults, and lay the foundation for DC distribution network protection. Firstly, the integral sequence of fault current is calculated, and the integral sequence is decomposed by variational mode decomposition (VMD) algorithm. The eigenvalues of the decomposed high frequency intrinsic mode function are used as the input eigenvectors of the combination model of TCN and SVM, and the fault lines are located and the fault types are determined. The simulation results show that the scheme can not only locate the fault line quickly and identify different faults accurately, but also has good adaptability and certain anti-interference ability.

The assignment of work orders is an essential part of the power operation and maintenance management system. Timely and accurate assignment methods can effectively improve the efficiency of work order circulation. Based on in-depth analysis of the characteristics of work order management in the field of power operation and maintenance, this article proposes an automatic assignment model for power operation and maintenance work orders based on fit degree. The model adopts criteria importance though intercrieria correlation (CRITIC) weighting method and fuzzy comprehensive evaluation to calculate the compatibility between operation and maintenance personnel and work orders, determine the optimal candidate for work order assignment, and then achieve automatic assignment of work orders. The practical application results show that compared to manual assignment, this automatic assignment model can effectively improve the efficiency and accuracy of work order assignment.

In order to solve the problem of high redundancy and low positioning accuracy of traditional cable fault location spectrum data, this paper proposes a high precision cable fault location method based on chirp-Z transform (CZT). Firstly, according to the transmission line theory, the distribution parameters and reflection coefficient characteristics of the fault cable are analyzed. Then, CZT is performed on the real part of the reflection coefficient. Finally, iterative filtering is used to denoise and obtain the cable fault location spectrum. The results show that the fault point recognition error of the proposed method is 0.025%~0.275%. Compared with fast Fourier transform (FFT), the proposed method has the advantages of refined location spectrum, high resolution, low redundancy and high fault location accuracy.

The grounding wire is an important equipment for ensuring the personal safety of power operators. Traditional grounding wire lacks informationization and intelligent management methods. There is no closed-loop management method for the extraction and return of grounding wire, which can easily lead to misconnection, no connection, and without returning, bringing huge risks to the safe and stable operation of the power grid. This article focuses on the Internet of Things (IoT) and intelligent transformation of grounding wire, grounding wire cabinet, and grounding pile. The design covers the full-process control system architecture covering the “cloud-network-edge-end”, and the full-process control system of grounding wire and intelligent monitoring device are developed. Through the method of edge IoT proxy cross regional collaboration, the consistency of the real-time status of grounding wire, grounding wire cabinet and grounding pile and business data between the security Ⅳ region and the Internet region is achieved. Based on cross regional collaboration of data, cross regional data collection and panoramic monitoring of grounding wire are achieved to ensure accurate grounding connection, improving the safety and work efficiency of on-site operators, and providing guarantees for the safe and stable operation of the power grid.

This paper compares the advantages and disadvantages of closed water cooling systems and open water cooling systems in terms of heat transfer efficiency, footprint, water consumption, and cost. The heat transfer capacity, site environmental conditions, inlet temperature of the phase modulator heat exchanger, and other requirements are taken into account for installing a phase modulator at a certain converter station, as well as the economic investment and operational factors. It is ultimately determined that the external water cooling system for the phase modulator at the converter station adopts an open water cooling scheme. The design scheme of external cooling system for the phase modulator is given in this paper, hoping to provide reference for the selection and design of the external cooling system for phase modulator in subsequent projects.

To fully exert the advantages of the convolutional neural network (CNN) in image recognition and classification, a fault diagnosis method for four-quadrant pulse rectifiers based on CNN and Gramian angular difference field (GADF) is proposed. GADF is utilized to transform the one-dimensional time series of rectifier current into a two-dimensional feature map, preserving the temporal dependency of the data and identifying the temporal correlations of the signal over different time intervals. The CNN then extracts and classifies the features of open circuit faults in the rectifier from the generated feature maps. This method is compared with other common fault diagnosis methods. Simulation analysis results indicate that this proposed method achieves higher diagnostic accuracy compared to other fault diagnosis methods.