Energy management of storage systems for industrial applications under real time pricing

Electrical storage systems are a potential solution for some challenges that will face future Smart Grids due to the large number and variety of services they can perform. These services can be further enlarged if an optimal operation of the storage systems is guaranteed. This paper deals with the energy management of battery storage systems in the frame of real time pricing. An optimal control strategy is proposed in order to minimize the electricity bill costs of an industrial facility. Firstly, the optimization model is formulated considering a multi-battery system. Then, two algorithms are applied to solve the problem: the linear programming and the dynamic programming. Numerical applications to an actual industrial facility demonstrate the effectiveness of the proposed procedure and the differences obtained applying linear and dynamic programming algorithms.