Oil-immersed Transformer Conditional Health Management System

Immersed Transformer Conditional Health Management System Monitoring and Platform Architecture

I. Multi-dimensional online monitoring module

1. Partial Discharge Monitoring: Configure ultrasonic, radio frequency and high frequency local discharge sensors to capture local discharge signals inside the transformer as the core characterization of insulation defects and provide early warning of insulation failure risks;
2. Vibration condition monitoring: Real-time collection of equipment operation vibration data through vibration sensors to accurately identify mechanical anomalies such as loosening of internal structures;
3. Gas in oil monitoring: Analyze the composition and content changes of dissolved gases in the transformer oil, and quickly determine whether there are latent faults such as overheating and discharging in the equipment;
4. Casing condition monitoring: Tracking changes in casing insulation performance in real time to avoid overall operational risks caused by casing insulation degradation;
5. Load current monitoring: Relying on load current sensors, it dynamically grasps the load situation of the equipment and accurately determines whether there is an overload operation problem;
6. Oil level temperature monitoring: Real-time monitoring of oil surface temperature through temperature sensors, capturing abnormal temperature signals in time to warn of potential internal malfunctions;
7. Core / Clip Current Monitoring: Real-time monitoring of core and clip current data for timely detection of hidden problems such as poor core grounding;
8. Precision temperature monitoring: Adopt fluorescent fiber or infrared temperature measurement technology, high precision real-time temperature measurement of the winding, and quickly locate the local overheating area.

II. Autonomous and controllable integrated diagnostic platform architecture

1. Underlying data collectionThe IED units in transformers, switchgear and other equipment collect multiple monitoring parameters such as gas in oil and partial discharge in a uniform manner, ensuring comprehensive and accurate data collection;
2. Data flow and transmissionAfter the collected data are aggregated to the online monitoring background of the whole station, remote diagnosis and mobile operation and maintenance are realized through the isolation gate and wireless network, and at the same time, the encrypted transmission channel interacts with the external system safely to ensure the safety of data transmission;
3. Core diagnostic capacityThe platform is equipped with edge computing technology, supports multi-device and multi-parameter fusion diagnosis and analysis, and is equipped with advanced functions such as spectrogram analysis, health research and judgment, and life prediction. Among them, Partial Discharge Spectral Analysis (PDA) accurately identifies the characteristics of discharge through PRPD, Ø-Q-N and other multi-dimensional maps; Transformer Intensive Care System (DICS) monitors key parameters in real time, and intuitively presents the health status of the equipment in a multi-format visualization interface to achieve graded early warning and rapid response.

Third, oil-immersed transformer state health management system of the core application scenarios

Focusing on “ensuring reliable power supply, reducing operation and maintenance costs, and adapting to complex environments”, it covers a wide range of scenarios such as power grids, industries, and special scenarios:

1. Grid backbone and hub substations

• Applicable objects: 220kV and above HV/EHV transformers, as the core equipment of power grid transmission.
• Core value: real-time monitoring of key indicators such as partial discharge, gas in oil, winding temperature, etc., to avoid sudden faults leading to regional blackouts and to safeguard the stability of power supply in the backbone network.

2. Distribution network and distributed power supply access scenarios

• Applicable objects: 110kV and below distribution network transformers, wind power / photovoltaic and other distributed power supply supporting transformers.
• Core value: To cope with the problems of decentralized distribution network equipment and difficult operation and maintenance, realize rapid fault location through remote monitoring, and support flexible grid connection of distributed power supply.

3. Critical power supply scenarios for industrial enterprises

• Applicable objects: power plants, chemical industry, metallurgy, data centers and other industrial users of power supply continuity requirements are very high special transformers.
• Core value: Monitoring risks such as overloading, insulation aging, loose structure, etc. Avoiding production line downtime due to transformer failure during production and reducing economic losses.

4. Special environmental operating scenarios

• Applicable objects: Transformers in alpine areas, coastal areas with high humidity and high salt, and areas with severe filth.
• Core value: Targeted monitoring of oil level (anti-condensation), casing insulation (fouling/salt spray corrosion), core grounding (high humidity hazard), adapted to the extreme environment operation requirements.

5. Life extension and O&M optimization scenarios for old transformers

• Applicable objects: old transformers whose operating life exceeds 15 years and whose insulation performance has deteriorated but has not reached the replacement standard.
• Core value: By accurately monitoring and evaluating the health status, it replaces regular maintenance and realizes “condition maintenance”, which extends the service life of the equipment and reduces the replacement cost.

6. Intelligent management and control scenarios for newly constructed substations

• Applicable objects: new intelligent substations, digital power plant supporting transformers.
• Core value: Seamlessly connect with the SCADA system and digital twin platform to build a full life cycle health file to support intelligent operation and maintenance of substations.