An optimal management strategy for distributed storages in distribution networks with high penetrations of PV
This paper presents an innovative management strategy for distributed battery storages that greatly increases the capability of distribution networks to absorb and utilize photovoltaic (PV) generation. Optimal daily energy profiles for each storage unit are calculated using a Fourier series descript...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Elsevier BV
2014
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/27492 |
| _version_ | 1848752278744334336 |
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| author | Jayasekara, Manathum Nadeeshani Pushpamala Wolfs, Peter Masoum, Mohammad Sherkat |
| author_facet | Jayasekara, Manathum Nadeeshani Pushpamala Wolfs, Peter Masoum, Mohammad Sherkat |
| author_sort | Jayasekara, Manathum Nadeeshani Pushpamala |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper presents an innovative management strategy for distributed battery storages that greatly increases the capability of distribution networks to absorb and utilize photovoltaic (PV) generation. Optimal daily energy profiles for each storage unit are calculated using a Fourier series description based on one day ahead energy forecasts. Each battery charge/discharge profile is optimized to minimize a cost function that includes network and battery losses, battery cyclic costs and the network voltage profile. The optimization method combined an interior-point algorithm and pattern search algorithm. Simulations are carried out on a three-phase distribution system over a period of 24 h at 15 min interval with time varying loads. The adopted technique in this paper shows significant control abilities in peak shaving and load leveling. Results also indicate that proposed approach can enhance the performance of the grid by improving the voltage stability and reducing distribution losses thus providing the required security for consumers. Results also illustrate capacity and charging/discharging rates of batteries highly depend on the location of the controlled consumer battery and amount of controlled batteries. |
| first_indexed | 2025-11-14T08:06:05Z |
| format | Journal Article |
| id | curtin-20.500.11937-27492 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:06:05Z |
| publishDate | 2014 |
| publisher | Elsevier BV |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-274922017-09-13T16:07:08Z An optimal management strategy for distributed storages in distribution networks with high penetrations of PV Jayasekara, Manathum Nadeeshani Pushpamala Wolfs, Peter Masoum, Mohammad Sherkat Distributed storage Load flow Voltage regulation Optimal power flow Demand management Distributed PV This paper presents an innovative management strategy for distributed battery storages that greatly increases the capability of distribution networks to absorb and utilize photovoltaic (PV) generation. Optimal daily energy profiles for each storage unit are calculated using a Fourier series description based on one day ahead energy forecasts. Each battery charge/discharge profile is optimized to minimize a cost function that includes network and battery losses, battery cyclic costs and the network voltage profile. The optimization method combined an interior-point algorithm and pattern search algorithm. Simulations are carried out on a three-phase distribution system over a period of 24 h at 15 min interval with time varying loads. The adopted technique in this paper shows significant control abilities in peak shaving and load leveling. Results also indicate that proposed approach can enhance the performance of the grid by improving the voltage stability and reducing distribution losses thus providing the required security for consumers. Results also illustrate capacity and charging/discharging rates of batteries highly depend on the location of the controlled consumer battery and amount of controlled batteries. 2014 Journal Article http://hdl.handle.net/20.500.11937/27492 10.1016/j.epsr.2014.05.010 Elsevier BV restricted |
| spellingShingle | Distributed storage Load flow Voltage regulation Optimal power flow Demand management Distributed PV Jayasekara, Manathum Nadeeshani Pushpamala Wolfs, Peter Masoum, Mohammad Sherkat An optimal management strategy for distributed storages in distribution networks with high penetrations of PV |
| title | An optimal management strategy for distributed storages in distribution networks with high penetrations of PV |
| title_full | An optimal management strategy for distributed storages in distribution networks with high penetrations of PV |
| title_fullStr | An optimal management strategy for distributed storages in distribution networks with high penetrations of PV |
| title_full_unstemmed | An optimal management strategy for distributed storages in distribution networks with high penetrations of PV |
| title_short | An optimal management strategy for distributed storages in distribution networks with high penetrations of PV |
| title_sort | optimal management strategy for distributed storages in distribution networks with high penetrations of pv |
| topic | Distributed storage Load flow Voltage regulation Optimal power flow Demand management Distributed PV |
| url | http://hdl.handle.net/20.500.11937/27492 |