Bachmann’s plug-in cards of the fully updated GMP232 series represent the latest concept in measuring and monitoring three-phase electrical networks. The solution combines plant control and grid technology in a modular unit. This produces many synergies, such as the correlation of grid data with the operational control data or the joint use of infrastructure, thus simplifying the reduction of the initial costs and life cycle costs as well as the handling.
Interfaces are available for the GMP232 module, both for a direct 690-V connection as well as for operation with voltage transformers up to a rating of 120V. Current measuring is implemented with a 1A or 5A rated transformers. Extended measuring ranges of up to 340% of the rated voltage or 400% the rated current, as well as even greater overload ranges make the module ideal for applications directly on the generator units or in high voltage levels.
As well as providing all relevant measured values such as current, voltage, power or frequency, the module also provides configurable monitoring functions for grid and system protection. Thanks to the new calculation procedures, currents, voltages and power values are broken down into “symmetrical components” (zero, positive and negative phase sequence) – a requirement of existing standards such as IEC 61400-21 and an indispensable basis for the future-oriented control of generating plants.
The GMP232 modules also boast extremely short reaction times. This not only means reduced latency but also high-speed moving rms value and power calculations (moving window). This consequently reduces dead times in the grid control.
The relay outputs integrated into the module enable the direct switching of two tripping circuits independently of the remaining control system. An integrated real-time data recorder supplies highly resolved time plots in Comtrade format in the event of a trip and saves an event log with synchronized time stamps.
The GMP232 is designed as a PLC-integrated solution, however, it can also be used in combination with a small M1-CPU as an autonomous grid measuring product.
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