This paper systematically reviews the current status of China's power cable industry by analyzing the evolution of the global power cable industrial landscape, domestic policy advancements, improvements in industry regulatory mechanisms, and market dynamics. It reveals the development trajectory of China's cable industry and its competitive advantages in the global market, and discusses the challenges faced by the industry at this stage. The aim is to summarize and reflect on the current status of China's power cable industry, analyze its development achievements and potential shortcomings, and propose reference suggestions for technological innovation and industrial upgrading, thereby contributing to the sustainable and efficient development of the industry.

Against the backdrop of continuous urban expansion and rising demand for high-quality living, the transit-oriented development (TOD) concept plays a significant role in urban planning and construction. Integrating this concept into residential community construction not only enhances residents' daily travel convenience and living quality but also imposes higher requirements for the planning, design, and construction management of community power distribution systems. This study discusses the power distribution system for high-quality residential communities based on the TOD concept. Subsequently, for the power distribution system, it determines planning and design principles, constructs planning schemes and formulates construction management measures. The study aims to establish a safe, reliable, efficient, and environmentally friendly power distribution system that fully meets residents' growing and diversified electricity demands, thus improving the overall quality of residential communities.

To implement China's “Double Carbon” strategy and construct smart low-carbon industrial parks, this study proposes an advanced integrated new energy electrical design. Taking a Jiangsu industrial park as a case, the design complies with Smart Zero-Carbon Park Evaluation Standard and integrates photovoltaic (PV) systems, energy storage, charging stations, PV-integrated charging carports with energy storage (V2G-enabled), and a smart energy and carbon management system. The solution emphasizes “green low-carbon and digital intelligence,” achieving energy self-sufficiency, carbon reduction, and intelligent regulation through multi-energy coordination and digital twin technologies.

With the continuous development of society and the gradual improvement of living standards, the demand for higher quality and efficiency in power supply is increasing. As a key technology in the power industry, smart grids is evolving rapidly. As a critical component of smart grids, the smart grid dispatching system supports real-time monitoring, equipment control, parameter calculation, alarm statistics, and other critical operations. This paper proposes a design scheme for a smart grid dispatching system based on cloud computing and remote control mode. The proposed system achieves efficient management of large-scale power equipment while enabling intuitive remote control.

This paper studies the mechanism of graphite fibers damaging the external insulation of electrical equipment. Finite element simulation software is used to establish models and calculate the relationship between the degree of external insulation failure of electrical equipment and graphite fiber parameters. The qualitative and quantitative relationships are explored among factors such as graphite fiber length, distance from insulators, potential, attachment mode to insulators, and attachment degree, and the degree of insulator damage caused by graphite fibers. The danger of graphite fibers and the necessity of preventing graphite fiber attacks on power systems and electrical equipment are demonstrated. A two-dimensional model of three-phase transmission lines is constructed to analyze the law between the intrusion position of graphite fibers and electric field changes. An early-warning method for power systems based on sensing technology is proposed, and protection countermeasures against the impact of graphite fibers on the external insulation of electrical equipment are explored to improve the strain and defense capabilities of resilient power grids.

Aiming at electrical equipment failures caused by graphite fibers approaching or adhering to the surface of insulators, an external insulation breakdown discharge test platform for extreme power faults is designed. The platform encompasses test objectives, test objects, test environment, test device design, and test process design. The discharge process of insulators under the influence of graphite fibers and the effects of different graphite fiber parameters on insulator discharge are analyzed. The relationship between various graphite fiber parameters and the withstand voltage of insulators is studied, providing suggestions and theoretical basis for the structural design and optimization of insulators.

This paper proposes an innovative method for calculating energy losses in distribution networks. The method utilizes a self-developed dedicated device designed ungrounded neutral systems (6-10 kV). The device is installed on all branches of overhead lines to measure conductor currents and temperatures in real time, enabling per-unit value-based conductor loss calculations. A multi-factor correction model is developed to optimize loss estimation by comprehensively considering harmonic distortion, temperature effects, and material properties. Experimental results demonstrate that energy losses increase by 1.28 times when the total harmonic current distortion (THD) rises from 0% to 50%, compared to sinusoidal conditions. Additionally, temperature variations between －40 °C and +70 °C cause loss fluctuations ranging from －24% to +17%.

Aiming at the partial discharge abnormality in a 1 000 kV gas-insulated metal-enclosed switchgear (GIS), through the comprehensive application of multiple detection methods such as ultra-high frequency (UHF) and ultrasonic detection, and adopting a step-by-step troubleshooting strategy from overall to local and from out-side to inside, the precise location of the defect is successfully achieved, and the nature and specific location of the partial discharge are determined. To avoid the expansion of the defect, combined with the analysis of the partial discharge abnormal signals, correct maintenance measures are taken, and the faulty equipment is disassembled and replaced.

To address the causes of fires in energy storage stations, this study proposes an fire warning and protection technical solution. First, an acoustic warning system based on ultrasonic technology is developed to achieve ultra-early fire detection. A novel alloy-oxide composite material for DC feeder thermal fuse wires is investigated, demonstrating exceptional thermal arc-extinguishing and flame-retardant properties. The design leverages rapid interruption technology for DC transmission line faults, integrating the material's flame-ratardant feature to enable multi-level arc suppression and fire prevention.

Aiming at the load characteristics of electric vehicle users, this study proposes a capacity configuration method for photovoltaic-storage-changing systems based on dynamic capacity expansion and formulates system operation strategies. A comprehensive cost optimization objective function and constraint function model are established. Taking an urban charging station as an example, the load characteristics are analyzed through electric vehicle charging behavior. Leveraging the bidirectional regulation capability of energy storage, the system maintains a dynamic balance between power generation and consumption, reduces distribution network expansion costs, and conducts an economic analysis to validate the effectiveness of the proposed method. This study provides a reference for capacity configuration of urban photovoltaic-storage-changing systems.

This study focuses on the design and technical research of a shore power system for a Shanghai port terminal. Considering the terminal's superior wind power generation conditions, integrating wind energy generation technology into port shore power equipment can significantly enhance power supply reliability and reduce electricity costs. However, several technical challenges remain in the practical design of shore power systems. The variable climatic conditions at the terminal prevent wind power systems from maintaining maximum power output. To address this, a gradient variable-step perturbation and observation method is designed and optimized for onshore wind power systems. Simulation tests demonstrate that this strategy enables the system to better adapt to sudden wind speed changes at the terminal, providing reference insights for future shore power system designs of similar types.

Owing to its superior characteristics, lithium titanate batteries have been widely adopted in energy storage systems, rail transit, military industry, and scientific exploration. Domestic research and pilot applications have explored replacing traditional lead-acid batteries with lithium titanate batteries in substation DC power systems. This study investigates the influencing factors for battery operating voltage setting and capacity selection in lithium titanate battery system design based on battery characteristics and substation DC power requirements. It further analyzes the effects of long-term float charging on lithium titanate batteries and proposes mitigation strategies. Measures such as optimizing float voltage, implementing intermittent charging, and utilizing smart BMS with active equalization control are introduced to reduce degradation from prolonged float charging.

This paper introduces the profile of a thermal power plant and identifies a critical issue: due to varying water quality from different wastewater systems, the existing monitoring system fails to track real-time water quality and flow rates at system inlets/outlets, hindering effective cascaded water utilization. The design concept and implementation scheme of a plant-wide dynamic water balance system are elaborated. Application results demonstrate its effectiveness in achieving lean management of the power plant water system.

Through comparative analysis of domestic and international boiler hydrostatic test codes and standards, combined with the actual conditions of a specific 350 MW supercritical unit boiler, this paper comprehensively considers the safety and timeliness of the hydrostatic test to determine parameters such as test pressure, inspection pressure, pressure rise/fall rate, test medium and medium temperature, and test qualification criteria for the 350 MW supercritical unit boiler.

This paper describes the research on the chemical cleaning process route for the No. 2 once-through boiler of the ultra-supercritical unit in Shanghai Shangdian Caojing Power Generation Co., Ltd. The cleaning process uses 3%‒6% organic composite acid (2%‒4% hydroxyacetic acid +1%‒2% formic acid) for chemical cleaning of the No. 2 boiler. The scale removal rate, average corrosion rate, and total average corrosion amount all comply with the standards of DL/T 794-2024 Guidelines for Chemical Cleaning of Boilers in Thermal Power Plants.

With the development of industrial automation, remote meter reading has gradually replaced manual data collection. This paper analyzes the issue of low data acquisition success rates in multifunctional power meters, identifying that the high number of functional modules leads to increased failure rates, and analog output (AO) failures affect acquisition continuity. Proposed solutions include replacing transducer functions and adopting RS-485 communication protocols. These measures enhance acquisition efficiency, reduce workload, and provide reliable data support for unit operations.

The large-scale integration of distributed photovoltaic (PV) systems into distribution networks has led to challenges in power supply safety, economic efficiency, and reliability. Among these issues, voltage quality anomalies in the distribution network are the most direct and pose significant barriers to the development of distributed PV. As power quality assessment requirements become increasingly stringent, it is essential to design reliable and effective technologies for addressing low-voltage distribution network anomalies. This study proposes an end-user voltage quality enhancement technology that combines a Static Var Generator (SVG) and a Dynamic Voltage Restorer (DELTA). The verification test shows that the technology has good practicality.

This paper presents a discharge fault of the insulation rod in a 126 kV gas-insulated switchgear (GIS) circuit disconnector compartment at a 110 kV substation. Through disassembly inspection, micro-moisture and gas composition analysis in the gas chamber, fault oscillography analysis, and electric field simulation, the fault characteristics and root causes are investigated. Corrective and preventive measures are proposed, providing significant reference value for operational maintenance personnel in equipment upkeep and fault handling.

Under the macro background of the “double carbon” goals, the power industry faces both urgent pressure for low-carbon transition and developmental opportunities from profound adjustments in energy structure. From the perspective of collaborative optimization of carbon asset management and new energy, this study delves into the critical pathways to low-carbon transition in power systems. By constructing an application framework for carbon asset management in this transition—encompassing carbon quota management, carbon asset development, and carbon asset trading—and combining practical cases from the State Grid Ningxia Electric Power Co., Ltd., the feasibility and effectiveness of collaborative optimization of carbon asset management and new energy are validated. The results demonstrate that such integration can significantly reduce carbon emissions while ensuring the safe and stable energy supply, while also unlocking new pathways for carbon asset value enhancement.

Digital transformation has driven think tank research toward data-driven approaches, by which the quality and effectiveness of information services based on data resources help enhance the scientificity and comprehensiveness of think tank research. This paper classifies the external information required for think tank research into two categories of data resources: open-source and purchased. It systematically reviews the characteristics and constituent elements of these two categories of data resources, establishes a three-dimensional secondary index system (content, carrier and utility) for open-source data resources, and develops a five-dimensional secondary index system (content, function, service, economy and usage) for purchased data resources. Additionally, a model for applying the data resource evaluation system is constructed based on the fuzzy comprehensive evaluation method, providing a foundation for procedural automatic evaluation.

To address the voltage violation issues caused by large-scale distributed photovoltaic (PV) integration in distribution networks, this paper proposes a comprehensive voltage sensitivity-based genetic algorithm (CVS-GA) for evaluating and optimizing distributed PV hosting capacity. First, by considering the nonlinear variation of voltage sensitivity, the traditional fixed-voltage-sensitivity calculation method is improved to reduce errors. A nonlinear programming model is then established to evaluate the PV hosting capacity, which accurately reflects the voltage limits under different PV installation schemes. This approach addresses the computational inefficiency and potential omission of boundary scenarios in traditional stochastic scenario simulation methods16. Second, a comprehensive voltage sensitivity calculation method is proposed, incorporating multi-timescale variations in PV and load power, as well as differentiated voltage regulation requirements across nodes. This method enhances the efficiency of genetic algorithms in optimizing PV capacity allocation through local iterative optimization. Finally, the effectiveness of the proposed algorithm is validated using the IEEE 33-node test system.

By making full use of the existing production and operation data of the power plant, and integrating mechanism modeling, experimental research, mathematical statistics, and machine learning methods, calculation models for boiler combustion under variable working conditions and optimal searching of controllable operation parameters, as well as a set of boiler combustion optimization control system, have been developed. This realizes the closed - loop control of boiler combustion, achieves the goal of tapping the equipment performance space and improving the operation level of the power plant, and is of great significance for the digital and intelligent construction of thermal power units.

To implement the people-centered development philosophy, it is necessary to accelerate the construction of an excellent power supply service system, better serve the implementation of national major strategies, and address the urgent and difficult issues in electricity use faced by the public. Following the overall framework of "corpus construction-pre-trained model construction-work order information mining and classification," this study first integrates data from multiple channels, including 95598 service hotlines, WeChat groups, and localized service platforms. Then, by leveraging the capabilities of customer service large language models, it extracts features from work order information to achieve classification of appeal work orders. The results show that the proposed framework enables fine-grained mining and classification of appeal work orders, appeal management featuring mining accurately understanding customers' real needs and emotional states, and providing a foundation for effective appeal handling.

With the deepening of power market reform and the acceleration of new power system construction, the scale of accounts receivable in power enterprises has shown a sustained growth trend. In this process, the superpositions of credit risks, liquidity risks and policy risks poses severe challenges to the capital chain security of power enterprises. This paper analyzes the risk characteristics and causes of accounts receivable from multiple perspectives, proposes management upgrades through measures such as optimizing credit management, strengthening internal controls, and selecting optimal strategies, and focuses on discussing the application value of new financial instruments such as factoring business, asset securitization (ABS), and blockchain technology in risk management and capital efficiency. The research provides theoretical guidance for power enterprises to achieve sustainable and high-quality development.