It is recommended that students have knowledge of electrical engineering such as: circuit theory, electrical systems and drives. It is also desirable, although to a lesser extent, that they have programming and control theory skills.

The general objective of the course is for students to acquire technical experience in energy storage projects. Specific objectives are: - That students acquire knowledge of the different storage technologies applicable to electrical systems and specific services and applications in renewable energy plants. - That students understand the constituent parts, control systems and operation of a storage system. - That they be able to design the energy management system of a storage system. - That they acquire the capacity to dimension a storage system for applications of renewable energy plants integration and services to the electricity grid.

1) Control devices in electrical networks: with and without energy storage systems. a) Hierarchical control of electrical systems. b) Common control devices in electrical systems. c) Modes of operation. d) Connection topology of storage systems. e) EMS market and specifications. 2) Modes of operation with accumulation systems. a) Systems with energy storage devices. b) Energy storage for electrical networks. c) Opportunities for the application of storage systems in electrical grid. d) Description of the applications of storage systems in electrical grid. e) Energy and power applications. f) Utility perspective of storage systems in electricity grids. g) ¿Peak power reduction¿ project example. 3) Energy storage systems in electrical networks. a) Introduction b) Comparison of the properties of the storage systems. c) Storage systems description. 4) Electrochemical batteries. a) Basic concepts about electrochemical batteries. b) Characterization and modeling of electrochemical batteries. c) Effects on dynamics. d) Advanced battery concepts. e) Example of advanced characterization and modeling. 5) Electrochemical battery types. a) Electrochemical batteries comparison. b) Electrochemical battery types description. 6) Battery sizing. a) Economic metrics in sizing. b) Sizing methodologies. c) Variables to be dimensioned. d) Energy sizing / State of charge estimation algorithms. e) Battery sizing exercise for photovoltaic systems. f) Power sizing / Maximum power algorithms. g) Longevity sizing / State of Health algorithms.

The assessment method will consist of the next activities: - Lectures by proffesionals. - Practical activities. - Student presentations. - Visit to pilot facilities.