Smart Grid Cyberattack Simulator Needed

I’m building a research-grade environment to study cyberattack detection in smart grids and need two tightly linked deliverables:

1) a software-only smart-grid simulator I can run on my workstation, complete with the ability to trigger, observe, and log various attack scenarios (DoS, data manipulation, false-data injection, and others we agree on), and
2) a hardware-in-the-loop replica of the same scenario running on a Raspberry Pi or comparable single-board computer so I can demonstrate real-time behaviour at the edge.

Key points you should know:
• The simulator must model generation, distribution, and consumption nodes well enough for anomalies to surface in measurable signals.
• I’m flexible on language or framework—Python with libraries such as GridLAB-D, OpenDSS, or custom MQTT-based code is welcome, but suggest what you’re fastest with.
• Logs, packets, and metrics need to be exportable so I can feed them into my detection algorithms later.
• For the hardware stage, lean solutions that compile or run unchanged on a Pi (or that can be containerised) are preferred.

Deliverables
• Source code for the desktop simulator plus a short README on setup and usage
• Attack scripts or modules with clear toggles to enable/disable each tactic
• Raspberry Pi image or install script replicating the same topology and attacks
• A brief demo video or live session proving the attack reproduces identically in both environments

Acceptance criteria
• I can run the simulator on a fresh machine in under 30 minutes following your README.
• Attacks reliably alter grid metrics in ways we can graph.
• Switching to the Pi shows the same alterations within the expected timing tolerance.

If this workflow sounds straightforward to you, let’s talk about your proposed stack and timelines.