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Digital twin simulator for distributed energy resources — BESS, PV inverters, energy meters

Project description

DER Twin

Digital Twin infrastructure for modern energy systems.

DER Twin is a lightweight simulator for Distributed Energy Resources (DER) — BESS, PV inverters, energy meters, and grid models — exposed via Modbus TCP and Modbus RTU. Use it for EMS development, protocol testing, integration validation, and control algorithm sandboxing without touching real hardware.


⚡ Quickstart

Option A — pip install

pip install dertwin

Bring your own site config and register maps:

dertwin -c path/to/your/config.json

You should see:

INFO | Building site: my-site
INFO | Starting Modbus TCP server | 0.0.0.0:55001 | unit=1
INFO | Simulation engine started | step=0.100s

The simulator is now accepting Modbus TCP connections on the ports defined in your config.

Option B — Run from source

git clone https://github.com/AlexSpivak/dertwin.git
cd dertwin
python -m venv .venv && source .venv/bin/activate
pip install -e .
python -m dertwin.main -c configs/simple_config.json

Option C — Run with Docker

git clone https://github.com/AlexSpivak/dertwin.git
cd dertwin
python generate_compose.py configs/simple_config.json
docker compose up --build

generate_compose.py reads the config and generates a docker-compose.yml with the correct ports automatically. No manual port configuration needed. For mixed-protocol configs with RTU, see Docker with RTU below.


🔌 Connect an EMS

With the simulator running, start the example EMS from a second terminal:

cd examples
python main_simple.py

You'll see the EMS connecting over Modbus and cycling the BESS between 40–60% SOC:

[EMS] Connected to BESS
[EMS] Starting in CHARGE mode
[EMS] STATUS=1 | SOC= 42.30% | P=  -20.00 kW | MODE=charge
[EMS] STATUS=1 | SOC= 44.10% | P=  -20.00 kW | MODE=charge
...
[EMS] Reached 60% → switching to DISCHARGE

For a full multi-device site (dual BESS + PV + energy meter + external models):

python -m dertwin.main -c configs/full_site_config.json
# in another terminal:
python examples/main_full.py

For a mixed-protocol site (BESS on TCP + PV and meter on RTU), see Mixed Protocol Example below.


🧱 Features

  • Async Modbus TCP and RTU servers built on pymodbus
  • Mixed-protocol support — TCP and RTU devices on the same site
  • Config-driven site topology — add devices by editing JSON
  • Irradiance, ambient temperature, grid frequency, and grid voltage models
  • Multi-device support across independent ports
  • External model events (voltage sags, frequency deviations)
  • Simulation start time control (start_time_h) — start at noon, peak load, etc.
  • Docker support with auto-generated Compose files and RTU-over-TCP bridging
  • Deterministic simulation with seeded random models
  • Fully tested with pytest

📦 Repo Structure

dertwin/
├── configs/
│   ├── register_maps/              # Modbus register definitions (YAML)
│   ├── simple_config.json          # Single BESS — good starting point
│   ├── demo_config.json            # Full three-device site
│   ├── full_site_config.json       # Dual BESS + PV + meter + external models
│   └── mixed_protocol_config.json  # BESS (TCP) + PV (RTU) + meter (RTU)
├── dertwin/
│   ├── core/                # Clock, engine, register map loader
│   ├── controllers/         # Site and device orchestration
│   ├── devices/             # BESS, PV, energy meter, external models
│   ├── protocol/            # Modbus TCP + RTU servers
│   ├── telemetry/           # Telemetry dataclasses
│   └── main.py
├── examples/
│   ├── simple/              # Single BESS EMS example
│   ├── full/                # Multi-device EMS example (TCP)
│   ├── mixed/               # Mixed-protocol EMS example (TCP + RTU)
│   └── protocol/            # Shared Modbus TCP and RTU clients
├── tests/                   # Full test suite
├── generate_compose.py      # Docker Compose generator
├── docker-entrypoint.sh     # Container entrypoint (socat + RTU bridge)
└── Dockerfile

⚙️ Configuration

Sites are defined in JSON. Each asset declares its type, parameters, and protocol bindings:

{
  "site_name": "my-site",
  "step": 0.1,
  "real_time": true,
  "start_time_h": 12.0,
  "register_map_root": "register_maps",
  "external_models": {
    "irradiance": { "peak": 1000.0, "sunrise": 6.0, "sunset": 18.0 },
    "grid_frequency": { "nominal_hz": 50.0, "noise_std": 0.002, "seed": 42 }
  },
  "assets": [
    {
      "type": "bess",
      "capacity_kwh": 100.0,
      "initial_soc": 60.0,
      "protocols": [{ "kind": "modbus_tcp", "ip": "0.0.0.0", "port": 55001, "unit_id": 1, "register_map": "bess_modbus.yaml" }]
    }
  ]
}

real_time: true — engine runs its own loop, use for dertwin CLI and EMS examples
real_time: false — caller drives the clock via step_once(), use for tests
start_time_h — sets simulation clock on startup (e.g. 12.0 for noon). All external models start from this time.
register_map_root — path to register map directory, resolved relative to the working directory where you run dertwin
ip: "0.0.0.0" — required when running inside Docker so port mapping works. Use 127.0.0.1 for local-only.

Protocol Configuration

Each asset's protocols array supports both Modbus TCP and Modbus RTU. A single device can expose multiple protocols simultaneously.

Modbus TCP:

{ "kind": "modbus_tcp", "ip": "0.0.0.0", "port": 55001, "unit_id": 1, "register_map": "bess_modbus.yaml" }

Modbus RTU:

{ "kind": "modbus_rtu", "port": "/tmp/dertwin_device", "baudrate": 9600, "parity": "N", "stopbits": 1, "unit_id": 1, "register_map": "bess_modbus.yaml" }

RTU parameters baudrate, parity, stopbits, bytesize, and timeout all have sensible defaults (9600/N/1/8/1.0) and can be omitted.

Register map fields:

Field Required Description
name yes Human-readable label, used in logs and the EMS client
internal_name yes Maps to the device's internal telemetry or command field — must match the attribute name in the corresponding telemetry class (see dertwin/telemetry/README.md)
address yes Modbus register address
type yes uint16, int16, uint32, int32
scale yes Multiplier applied on read, divisor applied on write
count yes Number of registers (1 for 16-bit, 2 for 32-bit)
func yes Function code: 0x04 input read, 0x03 holding read, 0x06 single write, 0x10 multi-register write
direction yes read or write
unit no Physical unit label (V, kW, Hz, etc.)
description no Free-text note
options no Enum mapping for status/mode registers

name and internal_name can differ — name is what the EMS client sees, internal_name is what the device simulator uses internally. For example, on_grid_power_setpoint (name) maps to active_power_setpoint (internal_name) on the BESS device.

For detailed architecture and per-package docs, see dertwin/README.md.


🔀 Mixed Protocol Example (TCP + RTU)

This example runs a site with BESS on Modbus TCP and PV + energy meter on Modbus RTU. The EMS controls the BESS over TCP and monitors the RTU devices for observability.

Prerequisites

Install socat to create virtual serial port pairs:

# macOS
brew install socat

# Ubuntu / Debian
sudo apt install socat

Running the example

Terminal 1 — create virtual serial pairs and start the simulator:

# Create virtual serial port pairs (simulator <-> EMS client)
socat -d -d pty,raw,echo=0,link=/tmp/dertwin_pv pty,raw,echo=0,link=/tmp/dertwin_pv_client &
socat -d -d pty,raw,echo=0,link=/tmp/dertwin_meter pty,raw,echo=0,link=/tmp/dertwin_meter_client &

# Start the simulator (from repo root)
dertwin -c configs/mixed_protocol_config.json

You should see:

INFO | Building site: mixed-protocol-site
INFO | Starting Modbus TCP server | 0.0.0.0:55001 | unit=1
INFO | Starting Modbus RTU server | port=/tmp/dertwin_pv | baudrate=9600 | unit=1
INFO | Starting Modbus RTU server | port=/tmp/dertwin_meter | baudrate=9600 | unit=1
INFO | Simulation engine started | step=0.100s

Terminal 2 — run the mixed-protocol EMS:

cd examples
python main_mixed.py

Expected output:

[BESS-1] TCP connected
[PV] RTU connected
[METER] RTU connected
[BESS-1] Starting in CHARGE mode

[EMS] Mixed-protocol EMS running
  [BESS-1] RUN  | SOC= 50.0% | P= -30.00 kW | MODE=charge
  [PV]    P= 16.40 kW (producing)
  [METER] Grid= +23.57 kW (importing) | Freq=50.000 Hz | Import=0.1 kWh | Export=0.0 kWh

The key point: socat creates a pair of linked pseudo-terminals for each connection. The simulator opens one end (/tmp/dertwin_pv) and the EMS client opens the other (/tmp/dertwin_pv_client). Both sides must use different ends of the pair.

If RTU serial ports are unavailable, the EMS will still run with BESS-only control — PV and meter telemetry will show as unavailable.


🐳 Docker

TCP-only configs

For configs that only use Modbus TCP, Docker setup is straightforward:

python generate_compose.py configs/full_site_config.json
docker compose up --build

TCP ports are mapped automatically from the config. Connect your EMS to localhost:<port>.

Docker with RTU

RTU serial devices use pseudo-terminals (/dev/pts/) which exist only inside the container's kernel namespace and can't be accessed from the host via volume mounts. The entrypoint solves this by bridging each RTU serial port to a TCP port inside the container using a Python asyncio relay. From the host, socat converts the TCP connection back into a local PTY that the EMS opens as a normal serial port.

Step 1 — generate the compose file and start the container:

python generate_compose.py configs/mixed_protocol_config.json
docker compose up --build

You should see:

[entrypoint] Creating serial pair: /tmp/dertwin_pv <-> /tmp/dertwin_pv_bridge
[entrypoint] Bridging /tmp/dertwin_pv_bridge -> TCP port 56001
[bridge] /tmp/dertwin_pv_bridge <-> TCP :56001
[entrypoint] Creating serial pair: /tmp/dertwin_meter <-> /tmp/dertwin_meter_bridge
[entrypoint] Bridging /tmp/dertwin_meter_bridge -> TCP port 56002
[bridge] /tmp/dertwin_meter_bridge <-> TCP :56002
[entrypoint] RTU bridges ready
[entrypoint] Starting DERTwin simulator
INFO | Starting Modbus TCP server | 0.0.0.0:55001 | unit=1
INFO | Starting Modbus RTU server | port=/tmp/dertwin_pv | baudrate=9600 | unit=1
INFO | Starting Modbus RTU server | port=/tmp/dertwin_meter | baudrate=9600 | unit=1

generate_compose.py detects RTU ports in the config and automatically exposes the bridge TCP ports (56001, 56002, ...) alongside the regular Modbus TCP ports in the generated docker-compose.yml.

Step 2 — in a separate terminal on the host, create local PTY endpoints (requires socat):

socat pty,raw,echo=0,link=/tmp/dertwin_pv_client tcp:localhost:56001 &
socat pty,raw,echo=0,link=/tmp/dertwin_meter_client tcp:localhost:56002 &

This creates /tmp/dertwin_pv_client and /tmp/dertwin_meter_client on the host — the same paths the EMS expects.

Step 3 — run the EMS (same command as the local setup):

cd examples
python main_mixed.py

Expected output:

[BESS-1] TCP connected
[PV] RTU connected
[METER] RTU connected
[BESS-1] Starting in CHARGE mode

[EMS] Mixed-protocol EMS running
  [BESS-1] RUN  | SOC= 50.0% | P= -30.00 kW | MODE=charge
  [PV]    P= 16.40 kW (producing)
  [METER] Grid= +23.57 kW (importing) | Freq=50.000 Hz | Import=0.1 kWh | Export=0.0 kWh

The data flow for each RTU device:

EMS (host)
  └─ SimpleModbusRTUClient opens /tmp/dertwin_pv_client (PTY)
       └─ socat on host: PTY ↔ TCP :56001
            └─ Docker port forward
                 └─ Python relay in container: TCP ↔ /tmp/dertwin_pv_bridge (PTY)
                      └─ socat pair: /tmp/dertwin_pv_bridge ↔ /tmp/dertwin_pv
                           └─ ModbusRTUSimulator

The EMS uses the exact same config for both local and Docker setups — the serial paths (/tmp/dertwin_pv_client, /tmp/dertwin_meter_client) are identical. The only difference is how those paths are created: locally via direct socat pairs, or via Docker with TCP bridging.

Override config at runtime

docker run \
  -v /path/to/my/configs:/app/configs:ro \
  -e CONFIG_PATH=/app/configs/my_site.json \
  -p 55001:55001 \
  dertwin-simulator

🧪 Tests

pytest

The test suite covers device physics, register encoding, external models, protocol parity (TCP and RTU), mixed-protocol engine integration, and full end-to-end site integration via Modbus. See tests/ for structure.


📈 Roadmap

  • Scenario engine — scripted event sequences
  • REST API + web dashboard
  • IEC 61850 support
  • MQTT integration
  • Modbus RTU support
  • Mixed-protocol sites (TCP + RTU)
  • Docker RTU-over-TCP bridging
  • Published PyPI package

🧠 Use Cases

  • EMS algorithm development and validation
  • SCADA/HMI integration testing
  • Protocol compliance testing (TCP and RTU)
  • DER fleet orchestration prototyping
  • Frequency and voltage response simulation
  • Mixed-protocol site simulation

🤝 Contributing

Contributions are welcome. Before diving in, read dertwin/README.md — it covers the simulator architecture, how devices are modeled, the engine and clock design, and how to add new device types or protocols.

See CONTRIBUTING.md for full guidelines, including how to add new protocols and test RTU without hardware.


📜 License

MIT License


👤 Author

Oleksandr Spivak

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