Storage scheduling for optimal energy management in active distribution network considering load, wind, and plug-in electric vehicles uncertainties
© 2015 AIP Publishing LLC. The storage units decrease the operation cost of active distribution network considerably if they are managed optimally. In this paper, the short-term optimal scheduling of stationary batteries is presented. The point estimate method is used for considering uncertainty of...
| Main Authors: | , , , |
|---|---|
| Format: | Journal Article |
| Published: |
American Institute of Physics
2015
|
| Online Access: | http://hdl.handle.net/20.500.11937/72569 |
| _version_ | 1848762785228390400 |
|---|---|
| author | Sedghi, M. Ahmadian, A. Pashajavid, Ehsan Aliakbar-Golkar, M. |
| author_facet | Sedghi, M. Ahmadian, A. Pashajavid, Ehsan Aliakbar-Golkar, M. |
| author_sort | Sedghi, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2015 AIP Publishing LLC. The storage units decrease the operation cost of active distribution network considerably if they are managed optimally. In this paper, the short-term optimal scheduling of stationary batteries is presented. The point estimate method is used for considering uncertainty of load, wind-based distributed generation and plug-in electric vehicles as well as their influence on optimal scheduling. The optimal scheduling consists of minimizing cost objective function under technical constraints. In this paper, the cost objective function is composed of operation and reliability costs which are minimized using Tabu search algorithm. The storage units are used for several objectives, i.e., peak shaving, voltage regulation, and reliability enhancement. The numerical studies show the advantages of batteries for energy management in active distribution network, and the impact of uncertainties on optimal scheduling. |
| first_indexed | 2025-11-14T10:53:05Z |
| format | Journal Article |
| id | curtin-20.500.11937-72569 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:53:05Z |
| publishDate | 2015 |
| publisher | American Institute of Physics |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-725692018-12-13T09:33:50Z Storage scheduling for optimal energy management in active distribution network considering load, wind, and plug-in electric vehicles uncertainties Sedghi, M. Ahmadian, A. Pashajavid, Ehsan Aliakbar-Golkar, M. © 2015 AIP Publishing LLC. The storage units decrease the operation cost of active distribution network considerably if they are managed optimally. In this paper, the short-term optimal scheduling of stationary batteries is presented. The point estimate method is used for considering uncertainty of load, wind-based distributed generation and plug-in electric vehicles as well as their influence on optimal scheduling. The optimal scheduling consists of minimizing cost objective function under technical constraints. In this paper, the cost objective function is composed of operation and reliability costs which are minimized using Tabu search algorithm. The storage units are used for several objectives, i.e., peak shaving, voltage regulation, and reliability enhancement. The numerical studies show the advantages of batteries for energy management in active distribution network, and the impact of uncertainties on optimal scheduling. 2015 Journal Article http://hdl.handle.net/20.500.11937/72569 10.1063/1.4922004 American Institute of Physics restricted |
| spellingShingle | Sedghi, M. Ahmadian, A. Pashajavid, Ehsan Aliakbar-Golkar, M. Storage scheduling for optimal energy management in active distribution network considering load, wind, and plug-in electric vehicles uncertainties |
| title | Storage scheduling for optimal energy management in active distribution network considering load, wind, and plug-in electric vehicles uncertainties |
| title_full | Storage scheduling for optimal energy management in active distribution network considering load, wind, and plug-in electric vehicles uncertainties |
| title_fullStr | Storage scheduling for optimal energy management in active distribution network considering load, wind, and plug-in electric vehicles uncertainties |
| title_full_unstemmed | Storage scheduling for optimal energy management in active distribution network considering load, wind, and plug-in electric vehicles uncertainties |
| title_short | Storage scheduling for optimal energy management in active distribution network considering load, wind, and plug-in electric vehicles uncertainties |
| title_sort | storage scheduling for optimal energy management in active distribution network considering load, wind, and plug-in electric vehicles uncertainties |
| url | http://hdl.handle.net/20.500.11937/72569 |