|Institution:||Curtin University of Technology|
|Department:||Electrical and Computer Engineering|
|Full text PDF:||http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=226050&local_base=gen01-era02|
Battery energy storage is identified as a strong enabler and a core element of the next generation grid. However, at present the widespread deployment of storage is constrained by the concerns that surround the techno-economic viability. This thesis addresses this issue through optimal integration of storage to improve the efficiency of the electricity grid. A holistic approach to optimal integration includes the development of methodologies for optimal siting, sizing and dispatch coordination of storage.