AbstractsComputer Science

Intelligent control of PV co-located storage for feeder capacity optimization

by Manathum Nadeeshani Jayasekara

Institution: Curtin University of Technology
Department: Electrical and Computer Engineering
Year: 2015
Record ID: 1073092
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.