Applications

Peak shaving and valley filling to ensure safety: During peak electricity consumption, quickly call the energy storage discharge on the user side, or temporarily reduce non-critical loads, flatten the peak of the power grid, and avoid sky-high electricity bills and power cuts.

Provide auxiliary services: respond to grid instructions at the millisecond level, provide high-quality services such as frequency regulation and backup, and become a "divine assist" for the power grid to cope with renewable energy fluctuations and maintain frequency voltage stability.

Improve green power consumption: Through intelligent prediction and scheduling, guide energy storage charging, electric vehicle charging, and factory production increase when photovoltaic and wind power are developed, maximize local consumption of clean energy, and reduce "abandonment of wind and light".

1. Cost reduction and efficiency increase: By participating in demand response, industrial and commercial users can adjust production plans or reduce energy consumption when the power grid needs it, and obtain considerable economic compensation or electricity bill discounts.

2. Revitalize assets: Photovoltaic, energy storage, and electric vehicles of households are no longer just consumption units, but "power generation treasures" and "mobile energy storage stations" that can "go online" to sell electricity or services, and convert idle resources into additional income.

3. Energy Optimization: Get smarter and more economical energy consumption solutions to improve energy efficiency.

A national power dispatching center in Nicaragua has been built to comprehensively and efficiently utilize power generation resources to achieve panoramic monitoring and control of the power grid.

Coping with extreme weather and peak loads: During extreme peaks of electricity consumption caused by the scorching heat in summer or the severe cold in winter, virtual power plants can be quickly started to accurately reduce non-critical loads (such as temporarily raising the temperature of building air conditioners and operating charging piles at off-peak times), effectively avoiding power cuts, ensuring power supply in key areas such as hospitals and transportation hubs, and maintaining social order and stability.

Local power grid emergency support: When the city's local power grid fails, the virtual power plant can quickly dispatch distributed energy storage, backup power and other resources in the area, provide temporary emergency power supply, buy time for emergency repairs, and enhance the "self-healing" ability of the urban power grid.

Deferring municipal infrastructure investment: By aggregating demand-side resources to meet peak electricity demand, the construction of expensive traditional power plants and transmission and distribution facilities can be reduced or delayed, saving huge amounts of money for urban finances and freeing up land resources.

Maximize local clean energy consumption: Prioritize the dispatch of distributed green power such as urban rooftop photovoltaics and small wind power, and significantly increase the proportion of green electricity use and directly reduce urban carbon emissions through intelligent energy storage.

The four substations of the district power supply, namely Aoxue Transformer, Zishangou Transformer, Genting Transformer and Guyangshu Transformer, have installed a total of 200 sets of mechanical characteristic monitoring devices; It has installed a set of sophisticated "motion capture system" and "health bracelet" for the "movement ability" and "response speed" of the switch cabinet (especially the circuit breaker), and constantly evaluates whether its "muscles and bones" are strong and whether the "movement" is agile, so as to ensure that it can win in one blow in the "battle" to protect the power grid.

Reliable and punctual, free from shackles: Regardless of weather and road traffic, it provides all-weather and high-punctuality travel services, so that citizens' schedules and life choices (such as work and residence) are more free.

Safe, comfortable, green travel: With the highest safety factor and large carrying space, it is the lowest per capita energy consumption and pollution mode of public transportation, providing citizens with healthy and environmentally friendly travel options.

Fairness and inclusion, achieving equality: The relatively low fare provides citizens of all income classes, especially the disadvantaged, with equal mobility throughout the city, and is an important social equity tool.

Provide a rich material foundation: From food, clothing, housing and transportation to medical education, all consumer goods and infrastructure in modern society rely on a strong, efficient and high-quality manufacturing system.

Improving quality of life and security: Advanced manufacturing produces safer, more energy-efficient, and smarter products (such as safe cars, efficient electrical appliances, and precise medical equipment), which directly determines the level of people's livelihood and well-being. In the midst of public health events, strong manufacturing (e.g., masks, ventilators, vaccine production) is the lifeline of social security.

Promote urbanization and modernization: Industrial development gathers population and resources, which is the main driving force of urbanization. It has changed the social structure and shaped the modern occupational system and lifestyle.

The key to supply chain security: Independent manufacturing capabilities in key areas (such as energy equipment, industrial machine tools, and core components) are strategic trump cards to cope with changes in the international pattern, resist the risk of "supply disruption", and ensure the normal operation of the economic system.

"Intelligent emergency" to improve rescue efficiency: When a disaster occurs, based on an accurate underground personnel positioning system, real-time 3D digital twin model and intelligent escape route planning, the most effective rescue can be quickly organized and the safest path guidance can be provided for rescuers.

Predictive maintenance and health management of equipment: Through real-time monitoring and AI analysis of vibration, temperature and other data of major equipment (such as shearers and main ventilators), early warning of faults can be changed, and "repair should be repaired" to "repair before repair", greatly reducing unplanned downtime and improving overall equipment effectiveness (OEE).

Intelligent resource allocation and decision-making: Based on the big data platform, global optimization and intelligent scheduling of production plans, inventory, energy consumption, personnel, etc. are carried out to maximize resource utilization and minimize production costs.

Maximize resource recovery: Through high-precision geological modeling and intelligent mining control systems, precise mining of complex coal seams and orebodies can be realized, reducing resource waste and improving resource recovery rate.

Precise control of energy consumption: Intelligent joint control and optimized operation of main energy-consuming equipment (ventilation, drainage, air pressure, lifting) to achieve systematic energy conservation and directly reduce carbon emissions.

The "Commissioning Interaction" low-voltage distribution network demonstration area project was officially completed on July 20, 2024, and the commissioning was officially completed and put into operation on July 26. In view of the problems of photovoltaic consumption, local overvoltage, unbalanced load factor in the station, difficulty in charging new energy vehicles and low reliability of low-voltage power supply, the overvoltage management strategy, the coordination control strategy of photovoltaic storage, charging and flexibility, and the fault shutdown strategy of E9361-C0 distributed power generation comprehensive control have effectively solved the problems of overvoltage and low voltage qualification rate in the station area. The number of overvoltage households decreased from 500 households per day to 50 households per day, and the voltage qualification rate increased from 88% to 98%.

When the power grid load is low (such as at night), guide the charging facilities to charge at high power; During peak times, reduce the charging power or even by the drone/ eVTOL batteries send power to the grid in reverse (V2G), calming grid fluctuations and reducing overall charging costs.

Virtual power plants can act as intelligent intermediaries between eVTOL and large drone flight plans and grid status. It can plan the most cost-effective and lowest carbon footprint charging for each aircraft based on flight schedules, battery status, real-time grid tariffs and renewable energy output.

Through the accurate traceability of the virtual power plant, it can be proved that the electricity used in a certain eVTOL flight comes from renewable energy. This provides a verifiable "green power certificate" for low-altitude travel, catering to ESG investment and high-end market demand, and potentially participating in carbon market transactions.