Energy storage plants provide energy storage services for the outside world based on electricity. It can store clean energy when power demand is low and release energy when power demand is high. In this way, the stability of the power system can be improved and the quality of power can be enhanced. However, in practical application, energy storage power stations have many difficulties in data acquisition and efficient operation and maintenance.
Schmerzpunkte der Industrie
1. Large amount of data, difficult to obtain data
The data volume of energy storage power station is large, and the massive data not only contains the operating parameters of the equipment, but also involves a variety of factors such as environmental temperature and humidity, grid load changes, and so on. Managers need to accurately collect these data and dig out valuable information from the complicated data for transmission.
2. Poor data timeliness
Since energy storage power stations involve large-scale battery packs, inverters, transformers and other complex equipment, these devices require high real-time performance during operation. How to effectively ensure that the control center can obtain the latest operating status in the first time is the key to ensure the normal operation of the energy storage power plant.
3. Slow response speed, scheduling difficulties
Manual on-site inspection is difficult, wide-ranging, and unable to obtain alarm information and maintenance in time. Relying on traditional methods, it is impossible to carry out fast and reasonable dispatching based on the on-site situation.
Program Introduction
The data collection solution formed by IOTRouter can completely solve the above data pain points.
1. Multi-dimensional Data Collection
Edge Computing-Gateway integrates a rich set of industrial communication protocols, which can quickly and easily collect key data from each device in the energy storage power station. It ensures comprehensive data collection by acquiring data in multiple dimensions, such as the operating status of equipment and environmental indicators in real time.
2. Edge computing capability
Through the gateway edge computing function, data cleaning, screening, and secondary filtering are performed on the gateway side to ensure the accuracy and validity of data.
3. Cloud storage and centralized management
Effective data is uploaded to the cloud to form a set of comprehensive and real-time updated database to realize cloud data storage and centralized management. Through the API interface, it can be directly docked with the power plant operation and management platform to ensure the timeliness and reliability of the data.
4. Data quality control mechanism
In the cloud, the collected data can be quality analyzed by introducing a data quality inspection mechanism to eliminate errors and abnormal data. At the same time, compatibility and consistency are considered when integrating data to improve data accuracy and availability.
Program Value
The power station management system provides intelligent operation and management decision support for energy storage power stations by introducing technologies such as artificial intelligence and machine learning to analyze and model the collected data. It can bring the following values:
1. Improve operational efficiency
By improving the data collection of energy storage power stations and realizing real-time, accurate and comprehensive data, managers can quickly access relevant data. In this way, they can monitor and maintain the equipment in a timely manner, thus improving the operational efficiency of the energy storage plant.
2. Intelligent management optimization
Using accurate and time-sensitive data, energy storage power stations can use artificial intelligence and machine learning technologies to achieve optimized scheduling and intelligent management. This improves the efficiency of grid scheduling, reduces energy costs, and optimizes the effect of the energy storage plant in the power system.
3. Decision support
High-quality real-time data collection provides management with a more accurate basis for decision-making. Through the comprehensive analysis of the performance data of the energy storage power station, it can predict equipment failure, optimize configuration, rational operation and upgrade decisions in advance. Thus, it provides safer and more efficient energy supply for the power system.
Summary
Energy storage power plant is a key support for new energy development and provides important support for grid balance. In the daily operation of energy storage power plants, data acquisition is the core foundation for improving operational efficiency and optimizing dispatch management. However, traditional methods have pain points such as difficult data acquisition, poor timeliness, and insufficient efficiency. This solution realizes the accurate, real-time and comprehensive acquisition of data, thus providing strong support for the efficient operation and intelligent management of energy storage power stations. At the same time, the solution provides more accurate decision-making basis for the management personnel and lays a solid foundation for the rapid development of the energy storage power plant industry.
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