BLU 512 - Intelligent Optimization Methods for Energy Systems

Course Objectives

1. Learning intelligent methods and their principles.
2. Learning advantages/disadvantages of intelligent methods to numerical methods.
3. Learning the design of intelligent methods.
4. Learning how to model problems in real world areas such as electrical power systems, electrical distribution systems and smart grids, solving them.

Course Description

Simulated Annealing Method, Tabu Search Method, Genetic Algorithms, Differential Evolution Method,
Partical Swarm Optimization, Harmoni Search Method, Ant Colony Optimization, Artificial Bee Colony Optimization, Gravitational Search Algorithm, Electrical Transmission Systems Applications, Electrical Distribution System Applications, Smart Grid Applications