A study of particle swarm technique for renewable energy power systems

Abstract

Renewable power system is an innovative option for electricity generation as it is a clean energy resource. Noting the climate change becomes an important issue the whole world is currently facing, the ever-increasing price of petroleum products (now about US$ 80 a barrel) and the reduction in cost of renewable energy power systems, opportunities for renewable energy systems to address electricity generation seems to be increasing. However, to achieve commercialization and widespread use, an efficient energy management strategy of system needs to be addressed. Recently, particle swarm optimization (PSO) has been successfully applied to the various fields of power system including economic dispatch problems. This paper presents the survey of PSO in solving optimization problems in electric power systems. The introductory sections provide the new way to implement renewable energy power system using particle swarm technique. Subsequent sections cover recent trends of PSO development in renewable energy power systems. This technique would be useful to determine the powerful energy management strategy so as to meet the required load demand at minimum operating cost while satisfying system equality and inequality constraints.