Industrial/Ph.D. Course from the 2nd to 4th of June, 2014
Course information
Signup here https://phd.moodle.aau.dk/course/index.php?categoryid=47
ECTS: 3
Time: 2-4 June, 2014
Place: Aalborg University, Pontoppidanstræde 101
Number of seats: 20
Deadline: 12 May, 2014
Link to PhD course flyer
Background of the course
Despite environmental friendliness, the wind power grid integration at a large scale faces several limitations, mainly related to wind variability, forecast accuracy and grid requirements. Since the accuracy of wind forecast is limited, even when the effect is reduced by large scale aggregation, the use of energy storage (ES) can be an attractive solution. Moreover, the future plans concerning the increase of the share of wind power in the electrical grid point to a major challenge that wind power integration implies: the need of transforming the behavior of wind power plant (WPP) closer to the one of conventional power plants.
Therefore, the future WPPs are intended to function like conventional power plants, seen from the transmission system perspective by complying with grid codes and
providing ancillary services. This is possible by integration of energy storage in the so called Virtual Power Plants (WPPs + ES). Besides, the grid support applications, ES have begun to enter in the automotive market. The use of ES in automotive applications is a promising option in order to replace the internal combustion engine (ICE) cars with ideally, zero emissions vehicles (full electric vehicles), or to controlled emission vehicles (hybrid electric vehicles and plug-in hybrid electric vehicles). Different storage technologies are available for integration of ES in the VPPs, as well in automotive applications. Among the electrochemical battery solutions, the Li–Ion batteries represent promising candidates because of their advantages: high efficiency, quick response, low self-discharge rate, high voltage operation, high energy density etc.
The course starts with an overview of electrochemical battery storage technologies and of the grid support applications (services) that energy storage can provide to the power grid. Moreover, already existing applications of ES in WPPs will be introduced by an industrial guest.
Since the feasibility of integrating ES in WPPs is a key aspect, the second part of the course is dedicated to the performance and lifetime modeling of Li-ion batteries. During this part, aspects such as: impedance-based performance modeling, curve fitting and parameter extraction will be covered; participants will be able to develop their own Li-ion battery performance model. The last part of the course is dedicated to the second important sector that integrates Li-ion batteries in their system, namely in automotive applications. In this part, aspects such as: battery management, as well modeling, sizing and control of battery powered vehicles will be covered.