Master in Renewable Energy in Power Systems (Plan: 276 - Estudio: 266)
EPI
Coordinating teacher: GARCIA PLAZA, MANUEL
Department assigned to the subject: Electrical Engineering Department
Type: Compulsory
ECTS Credits: 6.0 ECTS
Course: 1º
Semester: 1º
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.
Objectives
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.
- 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
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.
