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Traditional transformer areas rely on distribution transformer terminals to monitor the status of distribution transformers and on electricity meters to monitor power load at different times. This results in monitoring blind spots at intermediate nodes in the transformer area and poor real-time information.
In the face of sudden faults, maintenance personnel need to spend time reaching the site to locate faults and restore power quickly, causing significant physical and mental stress.
Due to the lack of monitoring methods for low-voltage transformer areas, these areas become blind spots in the power system. When it is necessary to analyze power supply data from the transformer area, there are no scientific methods available.
Distributed photovoltaic, wind power, and other equipment generate power uncontrollably, energy storage devices charge and discharge freely, and large-load equipment such as charging piles consume power without order, causing intermittent overload in the distribution network.
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.
Comprehensive awareness of transformer area information
Through intelligent circuit breakers, the system realizes real-time monitoring of all node statuses in low-voltage transformer areas and uses communication terminals to achieve real-time regulation of distributed energy sources and large-load equipment. It achieves the goals of visibility, measurability, adjustability, and controllability for the transformer area, completing 100% transparency of the transformer area.
High-quality and efficient intelligent O&M
Based on comprehensive information awareness, the system can locate fault points and provide real-time warnings. It allows for calm, rapid fault handling and power restoration.
Intelligent analysis assisting decision-making
The system uses monitored data and abnormal conditions for scientific and reasonable data analysis, providing decision-making support for scenarios such as retrofitting and expansion.
Autonomous coordinated control of the transformer area
The system coordinates the control of power load, distributed energy sources, energy storage, and charging piles within the transformer area, constructing a new distribution network with high carrying capacity and high flexibility.
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 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.
Using cloud computing, big data, AI, edge computing, and IoT technologies, the new distribution automation system is designed to meet the demands of massive distributed access and the new operational control requirements of the distribution network under "cloud-edge collaboration." It integrates data resources from all aspects of source-network-load-storage, building a new generation of distribution automation system. This system deepens the applications of rapid troubleshooting, precise load control, new energy coordination and interaction, economic operation of the distribution network, and lean operation of the network, achieving comprehensive network awareness and multi-level coordinated control, fully supporting the safe operation of the grid and the consumption of distributed energy.