ARTIFICIAL INTELLIGENCE APPLICATIONS IN RENEWABLE ENERGY SYSTEMS AND SMART GRID – SOME NOVEL APPLICATIONS

This chapter comprehensively reviews the basic principles of artificial intelligence (AI), such as Expert Systems (ES), fuzzy logic (FL), artificial neural network (ANN) or neural network (NNW), and genetic algorithms or evolutionary computation. This background knowledge is essential to understanding the applications of AI in renewable energy systems and smart grid. The chapter discusses NNW in more detail because it appears that the next generation of AI will be heavily based on NNW. It covers more specifically, the following novel applications: ES‐based control concept of a smart grid system with real‐time simulator and permanent magnet synchronous generator‐based wind generation system with FL‐based control. It also includes adaptive neuro fuzzy inference system‐based health monitoring of a wind generation system and fault identification of a smart grid subsystem by neural network. These application principles can be extended to cover many other applications.