Implementation of parallel and artificial intelligence techniques to solve power systems in a faster and more efficient way

Nowadays, the electrical systems have thousands of nodes. To simulate this kind of systems electromagnetic transient programs (EMTP) are often used. One of the widely used commercial programs available is PSCAD, which can simulate large networks. However, these kinds of systems could impose an important computational burden, and use a considerable amount of time to be simulated. In this sense, the propose of this research is to implement and search for alternatives to accelerate the simulations of power systems, especially in PSCAD. To attain this objective, in the first part of the research different parallel computing techniques will be implemented, and if possible, improved. Later on, artificial intelligence algorithms will be used to find optimal simplified network equivalents of large systems, aiming to accelerate the simulations even further.

Faculty Supervisor:

Aniruddha Ani Gole

Student:

Partner:

Manitoba Hydro International Ltd

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

University of Manitoba

Program: