DEIF Generator Protection Unit GPU-2-GS Generator Parallel Controller

DEIF's generator protection unit GPU-2-GS is a high-performance protection controller designed specifically for generators. It has a variety of protection functions, such as overload protection, underload protection, overvoltage protection, undervoltage protection, etc., can effectively protect the generator from overload, underload, overvoltage, undervoltage and other faults.

In addition, the GPU-2-GS also features parallel control, which can be specifically designed to control the parallel operation of multiple generators to achieve higher power generation capacity. It supports load balancing, ensuring that the individual generators share the load as needed to improve efficiency and stability. At the same time, it can also control the output voltage and frequency of the generator to keep it within the normal range.

The GPU-2-GS also supports synchronous operation, ensuring that multiple generators operate at the same voltage and frequency. In addition, it has a regulation function that allows the output of the generator to be adjusted to meet load changes.

In terms of safety, the GPU-2-GS has fault protection functions, such as overload protection, short circuit protection, etc., to ensure the safe operation of the generator and system. At the same time, it also supports data acquisition and monitoring, which can collect and monitor the operating data of each generator, such as voltage, current, power and so on.

In addition, the GPU-2-GS has a communication interface that allows data exchange and integration with other devices, systems or networks. At the same time, it supports remote monitoring, allowing the operator to remotely access and control the generator parallel system. It also supports automatic control, which automatically adjusts the output of the generator according to the load demand.

Overall, DEIF's generator protection unit GPU-2-GS is a full-featured and stable generator protection controller suitable for a variety of application scenarios.