Application of PSO for HEMS and ED in Smart Grid

Two way communication of information and electricity in smart grid provides the promising solution to all the major problems of existing grid especially the classical problem of peak load management. Optimization of generation, transmission and distribution in smart grid is major concern of researchers. Demand Side Management (DSM) allows the active participation of users in order to shape the load curve according to utility requirements and Economic Dispatch (ED) ensures the power supply at minimum cost. Optimization of DSM and ED has great importance to realize the smart grid. Researchers have applied many techniques of Artificial Intelligence (AI) in order to optimize these applications like Genetic Particle Swarm Optimization (PSO). This paper presents a comprehensive review of PSO applications for HEMS and ED. Various cases of ED and Home Energy Management System (HEMS) in smart grid for DSM applications are presented to show the diverse applications of PSO. In second part of paper a HEMS with interrupting loads has also been implemented using PSO.