Checking date: 06/06/2023

Course: 2023/2024

Storage in Electrical Systems
Master in Renewable Energy in Power Systems (Plan: 276 - Estudio: 266)

Coordinating teacher: GARCIA PLAZA, MANUEL

Department assigned to the subject: Electrical Engineering Department

Type: Compulsory
ECTS Credits: 6.0 ECTS


Requirements (Subjects that are assumed to be known)
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.
Skills and learning outcomes
Description of contents: programme
1. Control devices in electrical networks: with and without energy storage systems. - Hierarchical control of electrical systems. - Common control devices in electrical systems. - Modesofoperation. - EMS market and specifications. 2. Modes of operation with accumulation systems. - Opportunities for the application of storage systems in electrical grid. - Description of the applications of storage systems in electrical grid. - Energy and power applications. - Utility perspective of storage systems in electricitygrids. 3. Energy storage systems in electrical networks. - Introduction - Comparison of the properties of the storage systems. - Storage systems description. - Electrochemical batteries. 4. Demonstration of applications in electrical networks. - Demonstration: Smoothing of generation slopes with storage systems. - Demonstration: Reduction of power peaks with storage systems. 5. Battery sizing. - Energy sizing / State of charge estimation algorithms. - Power sizing / Maximum power algorithms. - Longevity sizing / State of Health algorithms. 6. Practical exercise: Design and implementation of an application for electrical networks with energy storage systems.
Learning activities and methodology
The assessment method will consist of the next activities: - Lectures by proffesionals. - Practical activities. - Student presentations. - Visit to pilot facilities.
Assessment System
  • % end-of-term-examination 0
  • % of continuous assessment (assigments, laboratory, practicals...) 100
Calendar of Continuous assessment
Basic Bibliography
  • D. Andrea. Battery Management Systems for Large Lithium Ion Battery Packs. Artech House. 2010
  • D. Linden and T. B. Reddy. Handbook of Batteries. McGraw-Hill (third ed.). 2002
  • K. C. Divya and J. Østergaard. Battery energy storage technology for power systems - An overview. Electric Power Systems Research, vol. 79, no. 4, pp. 511-520. Apr. 2009
  • P. T. Moseley, J. Garche, C. D. Parker, and D. A. J. Rand. Valve-Regulated Lead-Acid Batteries. Elsevier. Feb. 2004
  • R. A. Huggins. Energy Storage. first ed. ed. New York: Springer. Sep. 2010
  • T. B. Reddy and D. Linden. Linden's Handbook of Batteries. McGraw-Hill (fourth ed.). 2011

The course syllabus may change due academic events or other reasons.