Event-Driven Distributed Energy Control
Detection → Event Processing → Decision Engine → Execution; Kafka; Safety
A real-time orchestration model for grid-interactive DER: detection → event processing → AI decision engine → automated execution, with safety constraints, audit trails, and SCADA override. Designed for high-throughput, low-latency dispatch under regulatory compliance.
Prototype environment. Illustrative data.
What it visualizes
- •trigger patterns (peak load, PV surplus, grid instability, price spikes)
- •Kafka-based routing with priority and exactly-once semantics
- •constraint-based optimization (SOC floors, thermal, ramp rates, grid codes)
- •execution actions (dispatch, EV priority, islanding, feed-in optimization)
- •tenant isolation and portfolio-level aggregation
Used for
- •designing high-throughput, low-latency dispatch systems
- •validating event-driven control logic and safety constraints
- •optimizing real-time orchestration under regulatory compliance
Related System Views
Prototype 03
Event-Driven Distributed Energy Control Architecture
Real-Time Distributed Energy Orchestration Model / Grid-Interactive Control System
System State
Grid-Connected
Operation Mode
Optimization
Event Throughput
12,400/sec peak
Processing Latency (p95)
8ms
Active Tenants
12
Safety Status
All Clear
Layer 1 – Detection
Layer 2 – Event Processing
Layer 3 – Decision Engine
Layer 4 – Execution
Detection Layer
Peak Load Detected
• Load > 4.8 MW for > 120s
• Transformer temp > threshold
• Frequency deviation ±0.2 Hz
Event Processing
Energy Dispatch Event
Priority:High
Grid stability check passed
Decision Engine
AI Optimization
Constraints:
• SOC floor 25%
• Thermal limits
• Ramp rate compliance
Execution Layer
Battery Discharge
• 2.4 MW / 15 min window
• Ramp rate 0.3 MW/s
• SOC floor 25%
-2.4 MW demand
Detection Layer
Solar Overproduction
• PV Output > Forecast +12%
• Storage SOC < 80%
• Market price < €0.05/kWh
Event Processing
Storage Optimization Event
Priority:Medium
Market signal confirmed
Decision Engine
Load Forecasting
Constraints:
• Charge rate limits
• Grid feed-in cap
• Price threshold
Execution Layer
EV Charging Priority
• 1.8 MW allocation
• Dynamic scheduling
• Price-based dispatch
+1.8 MW storage
Detection Layer
Grid Instability
• Frequency < 49.8 Hz
• Voltage deviation > 8%
• External DSO emergency signal
Event Processing
Load Redistribution Event
Priority:Critical
Safety constraints verified
Decision Engine
Emergency Control
Constraints:
• Island capability check
• Backup gen availability
• Load priority
Execution Layer
Microgrid Isolation
• Grid disconnect relay trigger
• Island mode activation
• Frequency stabilization loop
Autonomous operation
Detection Layer
Price Signal Spike
• Spot price > €0.20/kWh
• Peak period confirmed
• Storage SOC > 40%
Event Processing
Energy Arbitrage Event
Priority:Medium
Market API confirmation
Decision Engine
Trading Logic
Constraints:
• Min arbitrage margin
• Grid export capacity
• Settlement rules
Execution Layer
Grid Feed-in Optimization
• Dynamic dispatch window
• Settlement tracking
• Revenue optimization
+€8.2k revenue
Message Broker
PlatformKafka Cluster
Nodes3 (replicated)
Replication factor3
Delivery semanticsExactly-once
Latency (p99)14ms
Safety & Override Logic
Safety Constraints
• Thermal limits monitoring
• Battery degradation guard
• Grid compliance rules
• Regulatory curtailment logic
Manual Override
• Operator control interface
• SCADA override enabled
• Emergency stop protocol
Forecast Engine
Weather-based PVActive
Load demand forecastActive
Market price forecastActive
Grid constraint anticipationActive
Event Audit Log (Real-time)
EVT-847214:23:45
Source: Grid Monitor
Decision: Battery dispatch
Result: Success
Compliance: ISO 50001
EVT-847114:18:32
Source: Frequency Sensor
Decision: Load shed
Result: Success
Compliance: Grid Code
EVT-847014:12:18
Source: Solar Inverter
Decision: EV priority
Result: Success
Compliance: OCPP 2.0
EVT-846914:05:09
Source: System Controller
Decision: Microgrid sync
Result: Success
Compliance: IEEE 1547
Multi-Tenant Isolation
Tenant Segmentation
Site A - Industrial8 nodes
Isolation: High
Site B - Commercial12 nodes
Isolation: Medium
Site C - Residential6 nodes
Isolation: Medium
Portfolio-Level Aggregation
Cross-tenant analytics with privacy-preserving aggregation
Detection Layer
Real-time monitoring with threshold-based triggers and condition validation
Event Processing
Kafka-based message broker with priority routing and safety validation
Decision Engine
AI-driven optimization with safety constraints and regulatory compliance
Execution Layer
Automated control with audit logging and manual override capability