Artificial Intelligence and Computational Intelligence: A Challenge for Power System Engineers

Abstract

Smart grid is an important application area for artificial intelligence (AI) and computational intelligence (CI), as solutions to complex problems in power system engineering and electric energy markets depend on logic reasoning, heuristic search, perception, and the abilities to handle uncertainties. AI is concerned with decision‐making capabilities such as knowledge representation, search methods, inference techniques, heuristic reasoning, and machine learning. CI techniques include expert systems, fuzzy logic, genetic algorithms (GAs), and artificial neural networks (ANNs). CI can further involve adaptive mechanisms for intelligent behaviors in complex environments, such as the ability to adapt, generalize, abstract, discover, and associate. AI and CI have been applied to address the challenges that arise from the increasing complexity and highly nonlinear nature of electric power systems. AI and CI techniques provide effective solutions to the design of nonlinear, adaptive, and optimal controllers for generator excitation systems, High‐Voltage Direct Current (HVDC), and Flexible Alternating Current Transmission System (FACTS) devices.