Intelligent control of PV co-located storage for feeder capacity optimization
Access Status
Open access
Authors
Jayasekara, Manathum Nadeeshani Pushpamala
Date
2015Supervisor
Prof. Peter J. Wolfs
Prof. Mohammad A. S. Masoum
Type
Thesis
Award
PhD
Metadata
Show full item recordSchool
Department of Electrical and Computer Engineering
Collection
Abstract
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.
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