Microgrid Energy Control Center

Dashboard highlights ​

• Single-line topology with live power flow among PV, storage, load and the grid.
• Power balance and green-rate: where every green electron comes from and goes.
• Storage SOC gauge and charge/discharge trends, with peak-valley arbitrage replay.
• Carbon bars, branch-load capsules, generation ranking and event log.

Business value ​

• Peak-valley arbitrage and demand control directly cut energy cost.
• Maximized green-energy uptake with quantifiable carbon reduction.
• Branch and transformer loading made visible to prevent overloads.

How to build this on IoT DC3 ​

PV inverters, storage PCS, BMS and gateway meters connect via Modbus TCP, MQTT and other drivers at second-level sampling. Rule engines evaluate tariff windows and raise over-limit alarms, and the Spring AI loop can take predictions into dispatch decisions. See the documentation and the GitHub repository.

FAQ ​

Is the data real? ​

This page runs on mock data with PV output following a day/night profile; connect real inverters and meters to go live.

Can it do control, not just monitoring? ​

Yes — IoT DC3 has a command channel (including edge execution), so dispatch strategies can be issued to storage or load devices as command templates.