Smart Grid Distribution Transformer Solution

In the context of new power system construction and large-scale grid connection of distributed renewable energy, traditional distribution transformers suffer from shortcomings such as unmeasurable status, passive voltage regulation, delayed fault response, and inability to adapt to bidirectional power flow, making it difficult to meet the high reliability, high energy efficiency, and high digitalization requirements of distribution networks.

Intelligent grid distribution transformers, by integrating high-precision sensing modules, dedicated power communication units, and embedded intelligent control algorithms, achieve the digital and intelligent upgrade of traditional distribution equipment. They can achieve panoramic perception of transformer operating status, data interconnection, and precise adaptive voltage control, making them core equipment for intelligent distribution network transformation and lean operation and maintenance of distribution areas.

1. Real-time Status Monitoring Across All Dimensions
   Continuously collects key operating data of the distribution area, including transformer winding temperature, top oil temperature, oil level, three-phase voltage, three-phase current, active/reactive load, load curves, and other parameters. Through continuous data sampling and statistical analysis, it fully reconstructs the operating conditions of the distribution area, solving the problem of "blind operation and blind maintenance" of traditional distribution transformers.
2. Load-Adaptive Voltage Regulation:
   Addressing voltage deviations caused by peak-valley power fluctuations, load imbalances, and reverse power transmission from renewable energy sources, the equipment can automatically switch taps under load without shutting down, dynamically correcting the low-voltage side voltage amplitude. This effectively suppresses voltage exceedances and fluctuations, continuously optimizing the voltage qualification rate of the distribution area.
3. Intelligent Fault Diagnosis and Hidden Danger Early Warning:
   Based on operational data, a health assessment model is established to identify latent defects such as long-term overload, short-term impact overload, insulation performance degradation, and abnormal oil temperature. This enables early fault warning, changing the traditional "fault repair" model and significantly reducing the probability of sudden power outages and equipment burnouts in the distribution area.
4. Adaptation to Two-Way Power Flow Operation for Renewable Energy:
   Adaptable to grid-connected renewable energy scenarios such as residential photovoltaic and distributed wind power, and compatible with the grid's two-way power flow operation mode. This effectively solves problems such as voltage rise, power imbalance, and power quality degradation in the distribution area caused by frequent renewable energy generation and reverse power transmission, improving the local absorption capacity of renewable energy.

1. Precise Loss Reduction and Improved Distribution Network Efficiency
   Based on precise analysis of load and loss data, it accurately locates abnormal low-voltage line losses and transformer losses in distribution areas, assisting maintenance personnel in optimizing load allocation and adjusting operating modes, effectively reducing overall losses in distribution areas and improving the economic operation level of the distribution network.
2. Digital Operation and Maintenance, Reducing Grassroots Maintenance Costs
   It supports remote data acquisition, remote operating condition monitoring, and visualized distribution area management, replacing a large amount of manual on-site inspection, meter reading, and hidden danger investigation work. This transforms distribution transformer operation and maintenance from "manual on-site duty" to "remote digital control," significantly reducing manpower and operation and maintenance costs.
3. Enhanced Grid Resilience and Power Supply Reliability
   For complex operating conditions with a high proportion of new energy access and rapid load fluctuations, it enhances the anti-disturbance capability and fault self-healing capability of the distribution network end through capabilities such as autonomous voltage regulation, hidden danger early warning, and adaptive adjustment of operating conditions, comprehensively improving the stability and reliability of power supply in distribution areas.

HENTG POWER intelligent distribution transformers are widely applicable to scenarios such as the renovation of old urban distribution areas, the upgrading of industrial park power distribution, the improvement of rural power grid efficiency, the centralized grid connection of new energy distribution areas, and the construction of smart grid demonstration projects. They are the basic core equipment for realizing lean management of distribution networks, digital transformation, and power quality governance.