Scalability Limits of Cloud-Based Aggregators: Latency, Message Throughput, and Failover Design
A cloud-based aggregator is like a traffic controller for thousands of small energy devices (solar panels, batteries, EV chargers), gathering their data and commands in real time β but it can slow down or break if too many devices talk at once.
⚠️ Why It Matters
π Definition
Cloud-based DER aggregators are distributed software systems that ingest, normalize, and coordinate telemetry and control signals from heterogeneous distributed energy resources (DERs) to form a logically unified, dispatchable virtual power plant (VPP) asset. They operate atop public or private cloud infrastructur border-volt-100 p-5 shadow-sm hover:border-volt-300 hover:shadow-md transition">
Message Throughput Capacity
12,000β240,000 msg/sMaximum sustained rate of telemetry/control messages (per second) the aggregator can process without backlog or message loss.
Throughput < 50,000 msg/s limits scalability to ~25,000 residential BESS units (assuming 2 Hz telemetry + 1 control cmd/min).
Failover RTO/RPO
RTO: 15β90 s; RPO: 0β200 msRecovery Time Objective (RTO) is maximum tolerable downtime after primary cluster failure; Recovery Point Objective (RPO) is maximum acceptable data loss window.
RTO > 45 s breaches NYISOβs VPP registration SLA for Class II assets; RPO > 50 ms risks inconsistent state during fast ramp events.
State Synchronization Overhead
18β65 kB/s per 1,000 DERsCPU and network bandwidth consumed per DER to maintain consistent shared state (e.g., SoC, availability flag, curtailment status) across redundant aggregator nodes.
Overhead > 45 kB/s/1k DERs saturates inter-zone GCP/AWS cross-region links, degrading RPO during regional outages.