Group 1 - The article discusses the application of intelligent technologies in the management, scheduling, operation, and maintenance of power systems to address new challenges in the construction of new power systems, aiming for greener, safer, and more efficient electricity supply [1][2] - In Guangxi, the Southern Power Grid's Laibin Power Supply Bureau has developed practical tools for assessing the potential of distributed photovoltaic (PV) integration, enhancing safety management and service levels for PV grid connection [1] - The Guangxi Guilin Power Supply Bureau has successfully tested a new power load management system that completed the entire load control process in just 2 minutes during an emergency scenario, demonstrating its efficiency and reliability [1] Group 2 - The Southern Power Grid's Hezhou Power Supply Bureau has implemented remote capacity testing technology for communication batteries, allowing for automated capacity assessments and real-time monitoring of battery parameters, significantly improving operational efficiency [2] - The Wuzhou Power Supply Bureau has introduced "self-driving" technology in distribution network operations, transitioning from experience-driven to data-driven management, which has greatly enhanced the efficiency and punctuality of maintenance requests [2] - In Shanghai, the State Grid has adopted a "drone + robot" collaborative operation model for X-ray inspections of transmission lines, improving operational efficiency and reducing safety risks associated with manual inspections [3] Group 3 - The introduction of self-healing technology in the distribution network in Shanghai has enabled a dual coverage system, reducing power restoration time from hours to minutes, thus enhancing grid resilience [3]

Core Insights - Shenyang, once known as the "Republic's Eldest Son" and "Oriental Ruhr," is experiencing a transformation in its industrial landscape, leveraging new energy systems to revitalize traditional industries [1][2] - The integration of digital technologies and smart manufacturing is becoming essential for large factories, with a focus on stable power supply to ensure product quality [3][4] - The shift towards renewable energy is evident, with companies like Northern Heavy Industries Group becoming self-sufficient in clean energy and contributing excess power to the grid [6][7] - Shenyang is also advancing in future industries such as new materials, biomedical, artificial intelligence, and new energy storage, with significant projects underway [8] Group 1: Industrial Transformation - Shenyang's industrial electricity consumption remains significant, with industrial usage accounting for nearly 40% of total electricity in early 2025 [1] - The Shengu Group, a key player in the region, is utilizing a digital factory model supported by a health management platform for equipment [2] - The reliance on digital management systems like MES, EAM, and QMS is critical for maintaining production quality in automated environments [3] Group 2: Energy Management and Sustainability - The State Grid Shenyang Power Supply Company is implementing a 5G smart distribution network that can autonomously detect and respond to power supply issues within 75 seconds [4] - Northern Heavy Industries has installed solar panels that generate over 25 million kilowatt-hours annually, significantly reducing carbon emissions [7] - The collaboration between the power supply company and local government aims to enhance energy efficiency and promote renewable energy integration among large industrial users [6][7] Group 3: Future Industry Development - Shenyang is making strides in smart connected vehicles, with a project that integrates intelligent sensing devices for autonomous driving applications [8] - The construction of a high-tech cable tunnel demonstrates the city's commitment to modernizing its power supply infrastructure, ensuring reliable electricity for emerging industries [8][9] - Innovative maintenance practices, including the use of drones for inspections, are being explored to enhance operational efficiency in power supply management [9]