CORE TECHNOLOGIES

EMS digital control

EMS and edge control form a closed loop for digital operation and asset management.

EMS & Digital Control

From data sensing to real-time dispatch,
Make every resource of energy manageable, traceable.

Through close-ring control through EMS, edge controllers and equipment layers, the asset status, current projections, real-time prices, power plans, equipment constraints and unusual events are integrated into the movement, enabling storage to move from "visible" to "controlled, optimized, verifiable."

Accur

Higher returns Increase arbitrage and movement earnings

Use

More Available 98% + Availability

Safe

More secure. Multiple layers of protection and redundancy

Better luck. Predictive health maintenance

Set

It's easier to integrate. Open interface and standardization

24-hour continuous smart schedule

00:00 03:00 06:00 09:00 12:00 15:00 18:00 21:00 24:00

Current projections and plans Forecasting electricity prices, loads and new energy sources, generating full-time power programs.

Scroll corrections in the day A rolling update of the plan based on the latest resource, price and load deviation.

Real-time power allocation and feedback Second responder state, assigns power commands to the available device.

Physical assets and data sources Real and tangible.

Light Optical Array 1.25 MWp

Network Network transformer 10kV

Storage Energy Storage Systems 2.15 MWh

PCS PCS Installer 1.0 MW

Table Scale / Level Measurement

Env Environmental / meteorological sensors

Forecast input and uncertainty

Photovoltage prediction Inter-sectional error > 12%

Load forecast Inter-sectional error > 10%

Electricity price projections Inter-sectional error > 10%

Storage service requirements Real-time dispatch requirements

Projections	Previous value [v]	Update Time	Trust interval
Photovolt	1.25 MWp	09:30	0.95–1.55 MW
Load	1.80 MW	19:00	1.62–1.98 MW
Electricity	$ 0.98/kWh	20:00	$ 0.83-1.13
Modifiable Capacity	1.02 MW	18:00	0.85–1.10 MW

Optimizing objectives

1 Maximizing benefits

2 Peak shaving / valley filling

3 Demand response

4 New energy.

5 Battery lifetime optimization

Conditions of restraint Model binding guarantees

Power constraints -1.0 ～ +1.0 MW

SOC binding 10% ～ 90%

Temperature constraints Tcell < 55°C

PCS Constraints Scale efficiency and power boundary

Network constraints Power factor / Networking capacity

Storage services Available capacity / Response speed

Project Configuration Example:

Photovoltage 1.25 MWp

PCS Capacity 1.0 MW

Grid-connection voltage 10 kV

Time of shipment 2024-11

Run Mode Auto/network

24-hour plan and actual response Example Day

Daily income $12,680

Peak-valley arbitrage 2.86 USD/kWh

Cycle efficiency 0.74

Average SOC 57%

Availability of equipment 98.6%

Unusual events 2

Platform to site: close-ring control from EMS to device

Side Edge controller Local Schedule/ Protect

BMS BMS Battery management system

PCS PCS Power Change

Match Electrical distribution equipment Switch / meter

Fire Fire/ support Thermal Management / Fire

Power current Control Command Status Feedback Alarm

Border autonomy: network disruption can also work safely and smoothly

Yu Local optimization and scheduling

Paul. On-site security control

Plan Offline strategy execution

Save Local Data Cache

Local autonomous running time lines

Time	Events	Status	Policy
11:22	Decline in the quality of communications	Online	Data drop sample
11:22–13:45	Cloud connection interrupted	Local autonomy	Continue strategy
13:46	Network Restoration	Sync	Batch Upload Data

Discretion closed loop A real deal.

1 Organisation Temperature trend abnormal.

2 Call it in. EMS/ Edge

3 Policy adjustments Lower power.

4 Isolation Disable device exit

5 Recovery Operation is back to normal.

6 Event Archive Generate evidence packages

Impact duration 4 minutes 33 seconds.

Maximum temperature +8.6°C

Energy Impact -0.08 MWh

Production impact No stoppage

Event Level Level 3 alert.

Asset Panorama: Regional Sites Zoom Boxes Zone Batteries

Regional level

Station level

Site Name China Industrial Storage Station

Installation 2.15 MWh / 1.0 MW

Availability 98.6%

Today Earnings $12,680

SOC 57%

cabinet level

Equipment #03

Capacity 537.5 kWh

SOC 58%

SOH 95.1%

Temperature 31.2°C

Cluster / Battery Package

Electricity 768.2 V

Electricity -132.4 A

Temperature 30.1°C

Balance &Normal

Fault 0

Insulation &Normal

Policy Rewind: Run-to-run comparisons

Indicators	Traditional strategy	Optimizing policy	Raise
Daily income	9,150	12,680	+38.6%
Average electricity cost	2.21	2.86	+29.4%
Storage Availability Rate	82%	94%	+12pp
Peak Reduction	61%	83%	+22pp
Availability	96.7%	98.6%	+1.9pp

08:55 Low-cost charge starts.

16:10 The peak discharge is activated.

18:35 FM resource inputs

20:05 Policy Switch

22:30 Low-cost supplement

KPI and Evidence Report

Core KPI

Availability 98.4%

Response Time P90 38 ms

Mean temperature differential 6.2°C

Proceeds 382,650

Battery health 96.420%

Auto Generate Report

Day Run the daily newspaper

Week Operation Weekly

Month Monthly reports

Yes. Incident report

V Transport report

Open connectivity: standard interface, easy integration

Time data API

Historical Data API

Control Command API

API

Policy down API

Device Model API

Asset management API

Report Interface API

IEC 61850 Modbus TCP IEC 104 CAN OPC UA

Security and compliance: multi-layered, credible and manageable

Cloud

Clouds are safe. Identification, permission management, data encryption

Side

Edge is safe. Local protection, access control, security audit