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ISAAC - The Intelligent Self-Organizing Agent-based Aggregator and Controller for Power Systems

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ISAAC Workshop III

Installation, preparation and execution stuff:

  • Setup virtualenv

    virtualenv -p python3 venv

    source venv/bin/activate

  • Install needed stuff using requirements.txt to virtualenv

    python -m pip install -r requirements.txt

ISAAC Standalone:

  • Edit src/isaac_standalone/config.py: Insert the number of agents, number of containers, and the negotiations with its corresponding targets and dates
  • Start src/isaac_standalone/isaac.py you can find the results as a hdf5 file 'results.hdf5' in the folder results
  • Details regarding the simulation can be found in the corresponding log file isaac_standalone/isaac_standalone.log

ISAAC-mosaik:

  • For the mosaik coupling, you need to first got to the top folder of the project and

    python setup.py install

  • Now install needed stuff. In src/isaac_mosaik/ execute

    pip install -r isaac_mosaik_requirements.txt

  • Now you can start src/isaac_mosaik/scenario.py and ISAAC will run within mosaik, coupled with an example simulator. The coupling consists of a simple exchange of schedules. No stepping of units is performed.

  • In scenario.py, settings can be changed

  • Results can be found in the results folder. The log file can be found in src/isaac_mosaik/isaac.log and src/isaac_mosaik/exampleDER.log

For a quick inspection of any results:

python analyze_result.py
  • In the result folder you will find one pdf file 'results.pdf' with four plots per negotiation

Using the schenerator:

  • install a java runtime environment if you haven't (oracle, no jdk!): e.g. from http://www.oracle.com/technetwork/java/javase/downloads/jre8-downloads-2133155.html

    java -jar /schenerator/schenerator-0.0.3.jar

  • import a schedule from /data/DER_schedules, edit it and export again

  • important: the header of the new file must be correct regarding the number of schedules

  • if you restart ISAAC the new schedule(s) will be included

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