Show simple item record

dc.contributor.authorJayasekara, Manathum Nadeeshani Pushpamala
dc.contributor.supervisorProf. Peter J. Wolfs
dc.contributor.supervisorProf. Mohammad A. S. Masoum

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.

dc.publisherCurtin University
dc.titleIntelligent control of PV co-located storage for feeder capacity optimization
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusOpen access

Files in this item


This item appears in the following Collection(s)

Show simple item record