ABSTRACT
This chapter reviews the most recent scientific articles related to large and big data optimization in power systems. Optimization issues such as logistics in power systems and techniques including nonsmooth, nonconvex, and unconstrained large-scale optimization are presented. Big data optimization is one of the important issues in big data areas that have been widely arisen with many challenges such as privacy, size of data, and data management. Big data optimization is usually taken into account in power systems research like management and scheduling, power dispatch, and energy demand. In some big data optimization programming, there are many variables resulting in a need for high memory. Electrical power systems are networks of components arrayed to supply, transfer, and use electric power. In power system, models are used to predict and characterize operations. The chapter provides an overview of big data optimization issues in electric power systems.
