Loads of lifestyles: A latent lifestyle model for interpreting and simulating electrical energy consumption

The rapid and uncertain penetration of distributed energy resources is changing the way people are consuming electricity. This development increases the risk of instability and congestion in the grid, posing great challenges to system operators in the near future. In order to optimally allocate resources and plan grid enhancement, distribution...

Towards Real-Time Power Restoration Using a Hybrid Genetic Algorithm

The goal of this project is to use a hybrid genetic algorithm to restore power to a power grid after a blackout by minimising the lost load and number of switches within a reasonable amount of time for power operators. The algorithm was tested on single-fault and multi-fault blackout systems. Based on the simulation results, the performance of...