Intelligent control of PV co-located storage for feeder capacity optimization
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 o...
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| Format: | Thesis |
| Language: | English |
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Curtin University
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/1415 |
| _version_ | 1848743661604438016 |
|---|---|
| author | Jayasekara, Manathum Nadeeshani Pushpamala |
| author_facet | Jayasekara, Manathum Nadeeshani Pushpamala |
| author_sort | Jayasekara, Manathum Nadeeshani Pushpamala |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T05:49:07Z |
| format | Thesis |
| id | curtin-20.500.11937-1415 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T05:49:07Z |
| publishDate | 2015 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-14152017-02-20T06:37:58Z Intelligent control of PV co-located storage for feeder capacity optimization Jayasekara, Manathum Nadeeshani Pushpamala 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. 2015 Thesis http://hdl.handle.net/20.500.11937/1415 en Curtin University fulltext |
| spellingShingle | Jayasekara, Manathum Nadeeshani Pushpamala Intelligent control of PV co-located storage for feeder capacity optimization |
| title | Intelligent control of PV co-located storage for feeder capacity optimization |
| title_full | Intelligent control of PV co-located storage for feeder capacity optimization |
| title_fullStr | Intelligent control of PV co-located storage for feeder capacity optimization |
| title_full_unstemmed | Intelligent control of PV co-located storage for feeder capacity optimization |
| title_short | Intelligent control of PV co-located storage for feeder capacity optimization |
| title_sort | intelligent control of pv co-located storage for feeder capacity optimization |
| url | http://hdl.handle.net/20.500.11937/1415 |