PRS-3000 energy storage monitoring and energy management system is a cross-platform integrated energy management system launched by the company. It offers the functions of real-time monitoring, diagnosis and early warning, panoramic analysis and advanced control, meets the requirements of comprehensive power grid operation monitoring, intelligent safety analysis, forward-looking adjustment and control, and dynamic panoramic analysis, and ensures the safe, reliable and stable operation of power grids. PRS-3000 energy storage monitoring and energy management system employs a service-oriented software architecture and conforms to IEC 61970/IEC 61968. It has a high degree of openness, making it capable of meeting the constantly evolving needs of system integration and application; The system utilizes advanced middleware technology to effectively shield the differences among heterogeneous systems and enable seamless cross-platform support, including compatibility with Unix/Linux operating systems. Through the use of advanced hardware equipment, including redundant configurations for critical devices, a secure, reliable, and standard master station system that is open, resource-sharing, and easy to integrate is created. The system is fully compatible with domestic hardware equipment, operating systems, and databases.
Energy Storage Monitoring and Energy Management System
1) Independent energy storage power stations; 100 MW-level and GW-level energy storage power stations;
2) New energy power plants, such as wind and PV power generation enterprises;
3) Combined frequency modulation of thermal energy storage or gas energy storage;
4) Black start of energy storage systems in gas power plants;
5) Thermal power and energy storage stations, gas power and energy storage stations, nuclear power and energy storage stations, and PV (wind) power and energy storage stations;
6) Energy-saving industrial parks, commercial users, and multi-energy complementation areas;
7) EV charging stations, industrial parks, islands, industrial and commercial users, residential areas, etc.;
8) PV, storage and charging stations;
9) Wind, PV and storage off-grid stations;
2) New energy power plants, such as wind and PV power generation enterprises;
3) Combined frequency modulation of thermal energy storage or gas energy storage;
4) Black start of energy storage systems in gas power plants;
5) Thermal power and energy storage stations, gas power and energy storage stations, nuclear power and energy storage stations, and PV (wind) power and energy storage stations;
6) Energy-saving industrial parks, commercial users, and multi-energy complementation areas;
7) EV charging stations, industrial parks, islands, industrial and commercial users, residential areas, etc.;
8) PV, storage and charging stations;
9) Wind, PV and storage off-grid stations;
Product Overview
Product advantages
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01
Load balancing and resource optimization are realized through cluster cooperation, enabling the connection of ultra-large energy storage power stations with one million or more sampling points. The processing capacity and robustness in extreme fault states are excellent. -
02
The system is capable of sending massive data concurrently and processing message push requests at millisecond-level speeds. The servers employ a failover mechanism, allowing for horizontal scaling and flexible configuration for different scenarios, ensuring high data access volume without compromising data security and stability. -
03
The system offers an integrated cross-platform solution for graphics, models, and libraries, with a consistent interface style across different operating systems. Additionally, single-node operations are automatically synchronized across the entire network. -
04
With its advanced grouping and layered platform design, the system uses a software bus to exchange network data flows among different layers, which enables data exchange through network interaction. -
05
The platform has the function of unified public services and system management, and allows plug and play of different application software. -
06
The system provides real-time operation data monitoring of energy storage system, analyzes the operating state of the system based on panoramic analysis algorithm, identify or extract useful information, carry out correlation analysis, conduct data diagnosis and make analysis-based decision. -
07
It can implement strategies such as follow-up dispatch, frequency modulation, peak shaving and valley filling, and black start. -
08
It also features a comprehensive backup and recovery plan for real-time and historical databases to ensure data security. Additionally, it has strategies for data consistency in case of switching between the master and backup servers. -
09
The system supports panoramic data access and management for GW-level energy storage power stations, and boasts leading power control speed and accuracy in the industry. -
10
t is compatible with domestic operating systems and commercial databases, and can collect and control panoramic data for GW-level and 100MW-level energy storage power stations based on time series databases and self-developed real-time databases.
Technical parameters
No. | Technical parameter | Index |
1 | Average number of automatic warm starts due to occasional failures | ≤1 time/5000h |
2 | Service life of the system with spare parts support | 10 years |
3 | Average CPU load rate of server in any 5min | ≤30% when normal (within any 30 consecutive minutes) |
≤35% when power system fails (within 10s) | ||
4 | Average CPU load rate of the workstation in any 5 consecutive minutes | ≤30% when normal (within any 30 consecutive minutes) |
≤35% when power system fails (within 10s) | ||
5 | Average load rate of system backbone network in any 5 consecutive minutes | ≤30% when normal (within any 30 consecutive minutes) |
≤35% when power system fails (within 10s) | ||
6 | MTBF of the system | ≥20000h |
7 | MTBF of measurement and control unit on the bay layer | ≥40000h |
8 | Maximum real-time information capacity of the system | Number of connected stations≥1024 |
State quantities≥1,000,000 | ||
Analog quantities ≥1,000,000 | ||
Electrical measurements ≥200,000 | ||
Telecontrol quantities≥20,000 | ||
Teleregulation quantities≥20,000 | ||
9 | Number of stations that can be connected | ≥1024 |
10 | Duration of historical data storage | ≥1 year. Hard drives and other hardware can be configured for the servers as needed |
11 | Number of historical trend curves | ≥100 |
12 | In-station SOE resolution | ≤2ms |
13 | SOE resolution of the measurement and control unit on the bay layer | ≤1ms |
14 | Accuracy of control operations | 100% |
15 | Accuracy of telecontrol actions | 100% |
16 | Acceptability ratio of telemetry | 100% |
17 | Annual accuracy of teleindication actions in case of accidents | ≥99% |
18 | System availability | ≥99.9% |
19 | Sampling interval of historical curves | Adjustable from 1min to 30min |
20 | Accident recollection: Before the accident | 1min |
21 | Accident recollection: After the accident | 2min |
22 | Time of switching between dual master machines | ≤30s |
23 | Analog-to-digital conversion resolution | ≥16bit |
24 | Comprehensive error of telemetry | ≤0.5% |
25 | Time required for transmitting a switching value change to EMS under the condition of optical fiber communication | ≤1s |
26 | Time required for transmitting analog quantity beyond the dead zone to the EMS master station under the condition of optical fiber communication | ≤2s |
27 | Time required for analog information response under the condition of optical fiber communication (from I/O input terminal to the outlet of the telecontrol communication device) | ≤3s |
28 | Time required for response to a state quantity change under the condition of optical fiber communication (from I/O input terminal to the outlet of the telecontrol communication device) | ≤2s |
29 | Time from issuing a telecontrol execution command to receiving the retuned data of telecontrol switch under the condition of optical fiber communication | ≤2s (excluding the action time of circuits and equipment) |
30 | Time of accident scene display | 1min before the accident and 5min after the accident |
31 | Time required for 90% scene display and response | Real-time scene: |
Other scenes: | ||
32 | Protocols supported by the EMS | IEC 60870-104, IEC 60870-101, IEC 61850, MOBUS-TCP, etc. (customizable protocols can be developed) |
33 | Time from receiving a scheduling command by AGC to sending an adjustment command | ≤100ms |
34 | Charging response time | ≤400ms |
35 | Discharging response time | ≤400ms |
36 | Charging adjustment time | ≤500ms |
37 | Discharging adjustment time | ≤500ms |
38 | Time required for switching from charging to discharging | ≤400ms |
39 | Time required for switching from discharging to charging | ≤400ms |