RAMSES

Welcome to RAMSES documentation! RAMSES is time-domain, dynamic, simulator for future electric power systems.

Installing runtime libraries

The simulator depends on the Intel redistributable libraries. You can install the runtime libraries for your system from Intel.

Alternatively, you can install [Anaconda Python](https://www.anaconda.com/download/) which come with MKL library installed. Make sure that Anaconda [is added to the path](https://github.com/mGalarnyk/Installations_Mac_Ubuntu_Windows) so that RAMSES can find the file mkl_rt.dll in Windows or mkl_rt.so in Linux.

Installing Gnuplot

To display the runtime observables, gnuplot should be installed and available in the path. You can install gnuplot from the official website.

Under Linux, you can install with your package manager. For example, under Ubuntu or Debian:

sudo apt-get install gnuplot-x11

Suggested References for RAMSES

[AVC2015]
  1. Aristidou, T. Van Cutsem, “A Parallel Processing Approach to Dynamic Simulations of Combined Transmission and Distribution Systems”, In International Journal of Electrical Power & Energy Systems, vol. 72, pp. 58-65, 2015.
[ALVC2015]
  1. Aristidou, S. Lebeau, T. Van Cutsem, “Power System Dynamic Simulations using a Parallel Two-level Schur-complement Decomposition”, In IEEE Transactions on Power Systems (in press), 2015.
[AFVC2014]
  1. Aristidou, D. Fabozzi, T. Van Cutsem, “A Schur Complement Method for DAE Systems in Power System Dynamic Simulations”, Chapter in Domain Decomposition Methods in Science and Engineering XXI, Springer International Publishing, vol. 98, pp. 719-727, 2014.
[AFVC2013]
  1. Aristidou, D. Fabozzi, T. Van Cutsem, “Dynamic Simulation of Large-scale Power Systems Using a Parallel Schur-complement-based Decomposition Method”, In IEEE Transactions on Parallel and Distributed Systems, IEEE Computer Society, vol. 25, no. 10, Los Alamitos, CA, USA, pp. 2561-2570, 2013.