The expansion of power frequency on-line UPS is mainly realized by multi-machine parallel technology, while the intelligent operation and maintenance upgrade relies on the Internet of Things, big data and AI technology to comprehensively monitor, predictively maintain and remotely manage the equipment.
First, capacity expansion: multi-machine parallel connection (N+X redundancy)
Core principle
Connect several power frequency online UPS of the same model and capacity through parallel control card/module, and output cooperatively, so as to realize capacity superposition and redundant backup.
1. Technical scheme
Self-adaptive parallel connection without master and slave (mainstream)
Each UPS has equal status, independent detection and control.
Automatic load sharing (current imbalance is usually ≤2~3%).
Any one fault is automatically offline, and the rest are seamlessly taken over without a single point of failure.
Number of parallel machines
Usually support 2~8 units in parallel.
For example, four 30kVA parallel machines with a total capacity of 120kVA.
Shared battery pack (optional)
Multiple UPS can share a set of batteries, which greatly saves investment and land occupation.
2. Key points of implementation
Hardware preparation
All UPS must be of the same model, power and software version.
Add parallel control card and special parallel communication cable.
Ensure that the phases of input, output and bypass power supply are consistent.
On-line capacity expansion steps (without power failure)
Connect the new UPS to the maintenance bypass to ensure that the load is uninterrupted.
Connect the parallel line and set the same parameters.
After the self-check of the new machine is normal, it will be gradually merged into the system to share the load equally.
Second, intelligent operation and maintenance upgrade: from "passive emergency repair" to "predictive maintenance"
1. Comprehensive perception: data acquisition layer
Add intelligent sensor
Real-time monitoring: voltage, current, frequency, power, temperature, humidity, load rate.
Battery depth monitoring: internal resistance, voltage, temperature, remaining capacity (SOC) and health (SOH).
communication interface
Upload data through RS485, SNMP, Modbus or Internet of Things gateway.
2. Intelligent brain: management platform layer
Local/cloud monitoring platform
Visual Dashboard: the load, battery and alarm status of single equipment/parallel system can be seen at a glance.
Health degree of parallel machine system: real-time display of load sharing and circulation state of each machine.
AI analysis core function
Battery life prediction: analyze the change trend of internal resistance and accurately predict the replacement time.
Fault early warning: identify hidden faults such as abnormal temperature rise and voltage fluctuation, and give an early warning.
Energy efficiency analysis: optimize load distribution and reduce system loss.
3. Efficient execution: operation and maintenance application layer
remote administration
Remote startup and shutdown, parameter configuration and fault diagnosis.
Graded alarm
Early warning/alarm/emergency three-level mechanism, notified by APP, SMS and email.
Maintenance automation
Automatically generate inspection report, maintenance work order and spare parts list.
Support remote firmware upgrade without on-site operation.
Third, expansion+intelligent operation and maintenance portfolio income
Reliability: N+1 redundancy to prevent single point power failure; AI early warning, nip in the bud.
Economy: expand capacity as needed to protect initial investment; Share batteries and reduce costs.
Efficiency: remote operation and maintenance, reducing on-site business trips; Fault location is minutes, and MTTR is greatly shortened.
Iv. implementation suggestions
Capacity expansion: give priority to the models that support the parallel operation without master and slave, and reserve the parallel operation slot, which can be configured according to N+1 at the initial stage.
Intelligent: SNMP/Internet of Things card is standard, and it is connected to the dynamic monitoring system in the computer room or the cloud operation and maintenance platform.
Battery: Upgrade the Intelligent Battery Management System (BMS) at the same time, which is the top priority of operation and maintenance.
