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GE Hydran M2 Enhanced DGA monitoring for transformers
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GE Hydran M2 Enhanced DGA monitoring for transformers

+86-15305925923
Mr.Wang
wang@kongjiangauto.com

GE Hydran M2 Enhanced DGA monitoring for transformers

28756.00
¥27740.00
Weight:4.000KG
Quantity:
(Inventory: 31)
Consultation
Product parameters
  • Telephone:+86-15305925923
  • contacts:Mr.Wang
  • Email:wang@kongjiangauto.com
Description

GE Hydran M2 Enhanced DGA monitoring for transformers


GE Hydran M2 Enhanced DGA monitoring for transformers
DESCRIPTION

The Hydran™ M2 is a continuous on-line dissolved gas and moisture in oil monitoring device that  alerts personnel of developing fault conditions in their transformer. It provides key monitoring  information and minimizes the risk of an unplanned outage.

Through the connection of additional sensors (for example top and bottom tank oil temperature,  transformer load or ambient temperature), additional information can be captured and used to  correlate with DGA and moisture values for a more in-depth analysis of the transformer’s condition.

This wealth of data can, not only be transmitted raw using the M2’s wide range of communication  options but can also be converted into useful information through the on-board calculation of IEEE® standard’s based transformer mathematical models to provide further condition information.

Key Benefits

• Continually measures dissolved fault gases and moisture in oil for early identifications of  potential issues before they become critical transformer failures 

• Choice of gas sensor: traditional "Composite gas" or more basic "Hydrogen only"

• Built-in calculation of transformer models based on IEEE standard (for mineral oil only) 

• Wide range of communication options and protocols simplifying integration into SCADA or DCS 

• Third generation of this proven design, with very large global installed base 

• Supports new lower flammability ester based oils as well as mineral transformer insulation oils

Applications

Power Utilities

• All-in-one solution for important medium size transformers 

Industrial Plants 

• Reduces the risk of process interruption due to power failure 

• Minimizes costly production downtim

• Focuses and prioritizes asset replacement strategy

Asset Supervision

• Easy to permanently install on a single  transformer oil valve. No extra piping or pump  required. Optional inputs for other sensors  

• Choice of gas sensor: "Hydrogen only" or  "Composite gas" which responds 100%  to Hydrogen (general fault gas) and is  also sensitive to Carbon Monoxide (paper)  Acetylene (arcing) and Ethylene (oil)  

• Moisture sensor measures water in the oil,  a result of insulating paper degradation  (produces CO + water) or leaking gaskets

Configurable Alarms

• An alarm is raised when an abnormal level of  fault gas or moisture is detected. Two alarm  levels (one for Alert and one for Alarm) can be  set to show increasing severity 

• Alarms can also be set on values from  optional analogue input cards or from  optional calculated transformer models 

• Automatic self-test every 15 days will trigger  service alarm if it detects a fault, including  power failure, oil valve closed, faulty sensor

Mark III Improvements

• Completely overhauled with improved sensor  durability, new electronic boards and power  supply to make it RoHS compliant while  increasing device reliability and capabilities 

• Suitable for transformers using mineral  insulating oil but now also ester based oils  (natural or synthetic) 

• Compatibility with GE’s acclaimed  Perception™ software to download, trend and  analyze transformer data

Transformer Models

The Hydran M2 offers transformer mathematical models for  mineral oil based on IEEE standards and correlated with field  experience. They use inputs from the available sensors and  transform the received data into useful real time information  to further understand the overall health of the transformer. Possible models output examples:

• Estimated winding hot spot temperature 

• Moisture level in paper 

• Moisture bubbling temperature 

• Insulation ageing 

• Overloading capacity 

• Cooling efficiency 

• OLTC temperature differential


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