Modeling and Dynamic Performance Assessment of a Battery Energy Storage Systems

Bulk storage of energy is a relatively new concept in many power systems. Among various energy storage media, batteries have shown great promise as a suitable option for use in power systems. Integrating a battery energy storage system in a power grid is not a trivial task and requires extensive studies to ensure that the system is able to respond satisfactorily to its surrounding’s variable conditions and deliver what is expected of it. Additionally, batteries experience marked changes in their characteristics as they age, which may adversely impact their performance and even cause undesirable outcomes such as instability. This project aims to study battery energy storage system dynamics and the impact of aging using advanced computer simulation and modeling techniques.

Intern: 
Xiaoquan Xu
Faculty Supervisor: 
Shaahin Filizadeh
Province: 
Manitoba
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