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The distribution network feeder line information awareness is weak, with many lines unable to collect or transmit even basic telemetry and remote signaling information, creating information blind spots.
Some existing feeder automation devices have low fault detection accuracy and slow fault isolation speed, posing the risk of fault area expansion.
Current systems have slow fault recovery speeds, and some lack self-healing functionality, failing to meet the increasing requirements for power supply reliability.
As a large amount of distributed new energy is integrated into the distribution network feeder, the existing system is unable to support the bidirectional power flow changes in the distribution network and meet the real-time control requirements.
The new distribution feeder automation system includes the distribution network automation main station system, intelligent feeder terminal, and intelligent substation terminal, realizing information monitoring, remote control, relay protection, fault isolation, and fault self-healing functions for distribution network feeder lines. It meets real-time monitoring requirements for various operational indicators of the line, while achieving rapid isolation of line faults and restoring power to non-fault areas within seconds, improving the reliability and safety of the distribution network.
Comprehensive Solution
The system covers both the main station and equipment end, providing a complete solution for feeder line automation, including overhead lines and cables, information collection, automatic control, fault isolation, and second-level power restoration.
Fully domestic components
All components are domestically produced, from the main station system to terminal equipment, from chips to resistors and capacitors, truly achieving independent control and reducing safety risks.
Intelligent equipment operation and inspection
The main station achieves full coverage of terminal equipment modeling, automatic status evaluation, power supply reliability analysis, autonomous risk factor judgment, and provides an intelligent solution for equipment O&M management.
Innovative applications
The system comprehensively applies advanced technologies such as big data analysis, digital twins, and deep learning to improve the efficiency and accuracy of fault isolation and self-healing, enhancing power supply reliability and meeting the requirements for large-scale integration of distributed energy.
The new energy automation monitoring system is mainly used for solar photovoltaic power plants, addressing the challenges of widely distributed data acquisition devices and difficulties in unified supervision. The system utilizes the latest information technologies such as big data, cloud computing, and artificial intelligence to collect, store, and analyze photovoltaic power plant data. Coupled with powerful edge computing capabilities and robust national security certification, the system improves operational efficiency, stability, and security, reduces maintenance costs, optimizes resource allocation, and promotes the sustainable development of the new energy industry.
Secondary equipment is responsible for monitoring, controlling, regulating, and protecting primary equipment, forming a critical part of protection and control circuits. The correctness of secondary equipment status directly affects the stability and reliable operation of the primary system. As the one-key sequence control mode is promoted in the power grid, secondary equipment such as locking plates, circuit breakers, and switching handles, which cannot be operated remotely, still require on-site manual operation by O&M personnel. This significantly limits the rapid development of the one-key sequence control mode. The intelligent secondary monitoring system enables comprehensive monitoring of secondary equipment status, remote control, status inspection, secondary anti-error, and online analysis. It effectively resolves issues such as low efficiency in manual inspections, high risks of human error, and low levels of intelligence in secondary equipment, providing strong technical support for the construction of new intelligent power grids.
The UT-Z300B intelligent substation integrated automation system is a next-generation solution that integrates monitoring, control, protection, measurement, anti-misoperation, and telemetry functions. It is developed based on cloud computing, IoT, mobile intelligence, intelligent sensing technologies, and big data, with unified standards, a unified platform, optimized configuration, and enhanced security, all while adhering to an open design philosophy. The system follows a top-down design philosophy, adopting a layered, distributed structure while adhering to grid technology specifications. It optimizes secondary circuits, reduces the workload of commissioning and maintenance, and makes substation operations more economical, reliable, and intelligent. The system can be applied to both intelligent substations and conventional substations.
The system is an automation system for monitoring and controlling equipment in the substation/distribution station house. By using advanced sensors and monitoring equipment, it can monitor the operational status of electrical equipment, environmental information, and fire and safety information in the substation/distribution station house in real time to ensure the safe operation and effective management of equipment. It also provides real-time alarm functions for abnormal conditions and remote control functions, making it convenient for maintenance personnel to remotely operate and maintain distribution station equipment, significantly improving the reliability and management efficiency of substation/distribution station operations.
The new distribution transformer area autonomy solution integrates an intelligent IoT system and adopts a distributed architecture. By adding intelligent fusion terminals, power quality analyzers, intelligent molded case circuit breakers, intelligent mini-circuit breakers, communication terminals, and other devices to the transformer area, it enables real-time monitoring of new energy equipment such as wind, solar, and energy storage systems. This allows comprehensive awareness of the operational status of the transformer area's power distribution facilities, achieving unified coordination and control of power generation and consumption within the transformer area, and completing energy autonomy at the transformer area level.