Distributed Smart Energy Infrastructure
Assets → Flow Network → Intelligence → Data → Financial/Regulatory
A multi-node DER architecture that connects solar, batteries, EV charging, smart buildings, and industrial microgrids into a grid-interactive network. It combines real-time dispatch, AI forecasting, event-driven control, and tariff/subsidy optimization under a multi-tenant compliance model.
What it visualizes
- •distributed asset layer (PV, BESS, EVSE, buildings, microgrids)
- •grid interaction and internal energy flow types
- •AI optimization (load/price/carbon) and demand response control
- •streaming + event bus + API gateway with tenant isolation
- •tariff, subsidy, grid fees, and carbon accounting integration
Used for
- •designing grid-interactive DER networks
- •validating multi-tenant compliance models
- •optimizing real-time dispatch and AI forecasting
Related System Views
Prototype 01
Distributed Smart Energy Infrastructure
Multi-Node Network Architecture / Real-Time Energy Intelligence
Total Distributed Capacity
12.4 MW
Total Storage
1.2 MWh
Connected Nodes
26
Grid Interaction
Active
Network Topology
Distributed
Regions
3
Layer 1 – Distributed Assets
Rooftop Solar
• 8 nodes
• 120 kWp total
• Grid-tied
• Inverter layer present
Battery Storage
• 5 nodes
• 1.2 MWh total capacity
• Li-Ion / LFP
• BMS integrated
EV Charging
• 6 clusters
• 180 kW fast charging
• OCPP protocol
• Smart load management
Smart Buildings
• 4 buildings
• Integrated BMS
• Load forecasting enabled
• Demand response ready
Industrial Microgrid
• 3 sites
• Islanding capable
• Peak shaving active
• Backup generation
Layer 2 – Energy Flow Network
Grid Connection
• Frequency sync
• Voltage monitoring
• Feed-in regulation
Microgrid Controller
• Load balancing
• Island mode
• Real-time dispatch
Distributed Assets
• 26 total nodes
• Multi-cluster
• Edge-enabled
Energy Flow Types
→ Grid Import
← Grid Export
⟲ Internal Load Redistribution
⇅ Storage Charge/Discharge
⚡ EV Priority Dispatch
◈ Network Topology: Distributed
Layer 3 – Intelligence Layer
AI Optimization Engine
├── Load Forecasting (ML-based)
├── Price Signal Analysis
├── Peak Prediction
└── Carbon Optimization Logic
Demand Response Controller
├── Automated dispatch
├── Curtailment logic
└── Flexibility market integration
Energy Trading Logic
├── PPA model
├── Spot market
└── Feed-in tariff logic
Performance Metrics
Decision latency< 250ms
Forecast horizon24–72h
Layer 4 – Data Layer
Real-time Data Stream
• MQTT / Kafka
• 5s refresh cycle
• Edge-to-cloud sync
Event Bus
• Event-driven architecture
• Failure logging
• System alerts
API Gateway
• OAuth 2.0
• Rate limiting
• Multi-tenant isolation
Multi-tenant Data Model
• Asset-based segmentation
• Region-based compliance
• Role-based access
Layer 5 – Financial & Regulatory
Tariff Model Engine
• Time-of-use pricing
• Dynamic rate structure
• Peak/off-peak logic
Subsidy Logic
• Feed-in tariff calculation
• Government incentive tracking
• Regional subsidy mapping
Incentive Mapping
• Demand response programs
• Capacity market participation
• Green certificate trading
Grid Fee Structure
• Network usage charges
• Connection fees
• Balancing costs
ESG Reporting Module
• Carbon accounting
• Sustainability metrics
• Regulatory compliance
Carbon Accounting
• CO₂ avoidance tracking
• Emission factor database
• Carbon credit generation
System Architecture
Distributed multi-node network with edge-controller topology
Control Mode
Event-driven with real-time optimization and autonomous island capability
Data Architecture
Multi-tenant isolation with role-based access and regional compliance
Financial Integration
Tariff optimization, subsidy tracking, and carbon accounting enabled