Applications of Computational Intelligence to Power Systems

Electric power systems around the world are changing in terms of structure operation management and ownership due to technical financial and ideological reasons. Power systems keep on expanding in terms of geographical areas asset additions and the penetration of new technologies in generation transmission and distribution. The conventional methods for solving the power system design planning operation and control problems have been extensively used for different applications but these methods suffer from several difficulties thus providing suboptimal solutions. Computationally intelligent methods can offer better solutions for several conditions and are being widely applied in electrical engineering applications. This Special Issue represents a thorough treatment of computational intelligence from an electrical power system engineers perspective. Thorough well-organised and up-to-date it examines in detail some of the important aspects of this very exciting and rapidly emerging technology including machine learning particle swarm optimization genetic algorithms and deep learning systems. Written in a concise and flowing manner by experts in the area of electrical power systems who have experience in the application of computational intelligence for solving many complex and difficult power system problems this Special Issue is ideal for professional engineers and postgraduate students entering this exciting field.