The DEEIF AGC/GS/3 AGC Automatic Genset Controller is designed to ensure efficient and reliable power management in industrial settings. It seamlessly integrates into complex systems, optimizing performance and reducing operational costs.
Operating Range:1500 RPM to 3600 RPM
Load Capacity:Up to 500kVA
Response Time:Less than 0.1 seconds
Control Mode:Frequency and Voltage
Communication Interface:RS485, Modbus Protocol
The DEIF AGC/GS/3 Automatic Genset Controller is a state-of-the-art solution for managing complex industrial power generation systems. Its advanced microprocessor technology ensures real-time monitoring and control, providing unmatched accuracy and efficiency.
Engineered with robust materials and compact design, this controller is built to withstand harsh environmental conditions without compromising performance. Its IP54 protection class allows it to operate reliably in outdoor settings, ensuring continuous power supply even in challenging climates.
The controller features an intuitive user interface, allowing operators to easily set up and monitor system parameters. With its quick response time and wide operating range, it seamlessly integrates with a variety of generators and power systems, enhancing overall system stability and reliability.
Innovative control algorithms optimize fuel consumption and reduce maintenance needs, making it an economical choice for long-term operations. The DEIF AGC/GS/3 controller is designed for ease of installation and maintenance, with comprehensive documentation and support available.
Whether in manufacturing plants, data centers, or remote locations, the DEIF AGC/GS/3 Automatic Genset Controller delivers superior performance, reliability, and energy efficiency. It is the ideal choice for critical power management in demanding industrial environments.
The DEEIF AGC/GS/3 AGC Automatic Genset Controller is designed to ensure efficient and reliable power management in industrial settings. It seamlessly integrates into complex systems, optimizing performance and reducing operational costs.