Intelligent management of distributed storage elements in a smart grid

Ability to accommodate all types of distributed storage options and renewable energy sources is one of main characteristics of smart grid. Smart grid integrates advanced sensing technologies, control methodologies and communication technologies into current power distribution systems to provide electricity to customers in a better way. Infrastructure for implementation and utilization of renewable energy sources requires distributed storage systems with high power density and high energy density. Currently, some research investigates energy management and dynamic control of distributed storage system to offer not only high power density and high energy density storage but also high efficiency and long life systems. In this paper, an intelligent energy management system is proposed to provide short-term requirements of distributed storage system in smart grid. The energy management of a distributed storage system is formulated as a nonlinear mixed-integer optimization problem. A hybrid algorithm that is combined an evolutionary algorithm with a linear programming was developed to solve the problem. Outcomes of simulation studies show the potential of solving the problem by the proposed algorithm.