Wind power system platform

Wind farm monitoring/wind farm energy management

EnOS centralized control for wind farms - wind farm monitoring with real-time monitoring of wind turbine operation and health status, wind turbines

Remote batch start stop control, intelligent alarm, power generation report, shutdown record, rose chart, trend analysis and other functions,

Provide customers with reliable monitoring capabilities and professional domain business application services to meet their remote needs for wind farms Monitoring requirements.

EnOS centralized control - wind farm energy management is used to control the output of wind turbines in the wind farm, supporting multi energy collaborative grid control of wind storage, Realize friendly grid connection control between wind farms and power grids. The system has virtual inertia response and primary frequency regulation capabilities for wind power Power meets the most stringent grid connection standards both domestically and internationally, and customers can obtain wind power frequency regulation through spot trading of electricity

Revenue from services.

EnOS centralized control - wind farm monitoring/wind farm energy management has passed the national power grid safety level three information detection, adopting Domestic hardware and operating system, monitoring system is independently controllable and meets the strict safety requirements of power monitoring system Regulatory requirements.

Advanced Analysis of Wind Power

Based on 2PB of massive data, achieve comprehensive sub-health management of wind turbine equipment based on AIoT.

 Using machine learning algorithms to warn of major component failures and overall power generation performance declines, helping wind power asset owners effectively manage equipment risks and prevent potential risks;

 Assist traditional wind power plants in gradually transitioning from passive response to proactive prevention in fault operation and maintenance mode.

The large component warning can cover all key components of the wind turbine, with a warning accuracy of over 90%. It can be based on standard SCADA system access to current, temperature and other data to warn of equipment and system failures such as transmission chain, pitch, yaw, etc;

 Can access multi brand vibration system service providers to analyze high-frequency data, providing dual protection for the transmission chain; At the same time, intelligent sensors suitable for any model can be freely selected according to the requirements of the scene, providing protection for important components such as blades and tower bases that do not have standard sensors.

 The power generation performance drop warning can eliminate the influence of wind conditions in the wind farm, accurately locate and identify the root cause of equipment performance drop, including abnormal pitch, yaw, torque, or abnormal capacity reduction of wind turbines. Effectively identify the sub-health status of equipment and maximize the recovery of power generation losses.

Wind power centralized control

EnOS Wind Power Centralized Control is a smart wind farm application software developed by Shengwei Intelligence based on the EnOS intelligent IoT operating system. It focuses on the practical pain points of current wind farm operations and is tailored for wind farm owners around Energy Availability Rate (EBA).

EnOS wind power centralized control has built-in modules for status monitoring, performance analysis, data import and export, data exploration, alarm services, etc., helping users easily control real-time production status and understand key business trends;

At the same time, the software also establishes a scientific and reasonable KPI analysis and assessment system for power generation enterprises and equipment manufacturers. By accurately calculating and visually presenting key indicators such as power generation losses and availability, it points out the direction for asset monitoring and optimization personnel to improve production and equipment reliability.

Wind power prediction

Based on Shengwei's self-developed regional refined 1kmX1km meteorological forecast and EnOS platform, integrating physical models with Machine learning models are used to study the physical characteristics of new energy generation equipment under various meteorological and environmental conditions Operating characteristics, with 100 built-in power prediction models, providing targeted short, medium, and long-term multidimensional power prediction and transmission Electricity forecast comprehensively supports the safety of new energy production, grid friendliness, and power marketing business.

The product integrates over 10 global meteorological models and customizes 1kmX1km meteorological forecasts based on the National Supercomputing Center; Tong Tong By combining physical models with artificial intelligence for single wind turbine prediction, the accuracy of wind power prediction has been improved by 3%; Rate Firstly, meet the new national standard and provide full time and space (hour/day/week/month/year) full scenario (point/line/area) power and electricity forecast; Support transaction risk control, provide probability prediction/regional situational awareness/extreme weather warning/monthly annual power generation forecast; Realize the optimization of wind storage collaborative trading and help maximize comprehensive benefits.

Intelligent trading terminal

Intelligent trading terminals organically integrate real-time information, transaction execution, and in-depth analysis of the energy market, providing market insights The on-site trading personnel bring a brand new operational experience and more transparent market insights and decisions, providing market information and predictions, trading strategies, trading evaluations, and retrospective analysis in electricity spot and medium - to long-term trading scenarios, achieving digital and intelligent management of electricity marketing. For public information, predictive data, and strategic data needs, independent data services can be provided in conjunction with existing systems.

The product has a comprehensive trading information database, covering the information required for all types of trading scenarios, providing a one-stop information platform for energy trading; Provide comprehensive information forecasting services, with electricity price forecasting accuracy leading the industry by over 5%; Provide automated trading assistance with built-in AI strategies, significantly improving trading efficiency.

Integrated solution for production and marketing

Integrated production and marketing control is an intelligent scheduling solution suitable for various new energy scenarios. By horizontally connecting remote monitoring, equipment warning, power trading, power prediction, production management system and other data, based on price signals, task types, work locations, reference working hours, lost electricity, deadlines, weather information and other data, combined with the fast adjustment ability of energy storage, it automatically arranges production tasks in the task pool intelligently, generates recommended production and maintenance plans for the day and week, assists in production task scheduling decisions, improves production and maintenance work efficiency, reduces the impact of equipment downtime on revenue, and achieves efficient operation of new energy stations.