Publication

Abstract : The global power sector is undergoing a disruptive evolution due to the incorporation of numerous distributed elements, communication framework, distributed energy supplies, electric vehicles, and advanced metering infrastructure for enlightening reliability, management, and protection of the future power system. These elements are closely interlinked with the Internet of things. They will produce a huge quantity of information to support smart grid (SG) applications, including grid health monitoring, fault prediction, generation forecasting, distributed energy management, and home energy management. Artificial intelligence (AI) approaches are preferred to simplify and enhance the distributed SG’s (DSG) performance. This chapter proposes a comparative analysis of various AI strategies for supporting different applications in a DSG system. The authors also discuss AI techniques to enhance smart energy storage system, renewable energy integration, and energy security. Finally, the application of AI and market deregulation will improve the total social welfare of the grid discussed in this chapter.