Sizing of energy storage for microgrids
This paper presents a new method based on the cost-benefit analysis for optimal sizing of an energy storage system in a microgrid (MG). The unit commitment problem with spinning reserve for MG is considered in this method. Time series and feed-forward neural network techniques are used for forecasti...
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Format: | Journal Article |
Language: | English |
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2013
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Online Access: | https://hdl.handle.net/10356/100649 http://hdl.handle.net/10220/16458 |
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author | Gooi, Hoay Beng Chen, S. X. Wang, M. Q. |
author2 | School of Electrical and Electronic Engineering |
author_facet | School of Electrical and Electronic Engineering Gooi, Hoay Beng Chen, S. X. Wang, M. Q. |
author_sort | Gooi, Hoay Beng |
collection | NTU |
description | This paper presents a new method based on the cost-benefit analysis for optimal sizing of an energy storage system in a microgrid (MG). The unit commitment problem with spinning reserve for MG is considered in this method. Time series and feed-forward neural network techniques are used for forecasting the wind speed and solar radiations respectively and the forecasting errors are also considered in this paper. Two mathematical models have been built for both the islanded and grid-connected modes of MGs. The main problem is formulated as a mixed linear integer problem (MLIP), which is solved in AMPL (A Modeling Language for Mathematical Programming). The effectiveness of the approach is validated by case studies where the optimal system energy storage ratings for the islanded and grid-connected MGs are determined. Quantitative results show that the optimal size of BESS exists and differs for both the grid-connected and islanded MGs in this paper. |
first_indexed | 2024-10-01T07:45:35Z |
format | Journal Article |
id | ntu-10356/100649 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T07:45:35Z |
publishDate | 2013 |
record_format | dspace |
spelling | ntu-10356/1006492020-03-07T14:00:31Z Sizing of energy storage for microgrids Gooi, Hoay Beng Chen, S. X. Wang, M. Q. School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electric power This paper presents a new method based on the cost-benefit analysis for optimal sizing of an energy storage system in a microgrid (MG). The unit commitment problem with spinning reserve for MG is considered in this method. Time series and feed-forward neural network techniques are used for forecasting the wind speed and solar radiations respectively and the forecasting errors are also considered in this paper. Two mathematical models have been built for both the islanded and grid-connected modes of MGs. The main problem is formulated as a mixed linear integer problem (MLIP), which is solved in AMPL (A Modeling Language for Mathematical Programming). The effectiveness of the approach is validated by case studies where the optimal system energy storage ratings for the islanded and grid-connected MGs are determined. Quantitative results show that the optimal size of BESS exists and differs for both the grid-connected and islanded MGs in this paper. 2013-10-11T03:57:22Z 2019-12-06T20:25:54Z 2013-10-11T03:57:22Z 2019-12-06T20:25:54Z 2011 2011 Journal Article Chen, S. X., Gooi, H. B., & Wang, M. Q. (2011). Sizing of energy storage for microgrids. IEEE transactions on smart grid, 3(1), 142-151. https://hdl.handle.net/10356/100649 http://hdl.handle.net/10220/16458 10.1109/TSG.2011.2160745 en IEEE transactions on smart grid |
spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Electric power Gooi, Hoay Beng Chen, S. X. Wang, M. Q. Sizing of energy storage for microgrids |
title | Sizing of energy storage for microgrids |
title_full | Sizing of energy storage for microgrids |
title_fullStr | Sizing of energy storage for microgrids |
title_full_unstemmed | Sizing of energy storage for microgrids |
title_short | Sizing of energy storage for microgrids |
title_sort | sizing of energy storage for microgrids |
topic | DRNTU::Engineering::Electrical and electronic engineering::Electric power |
url | https://hdl.handle.net/10356/100649 http://hdl.handle.net/10220/16458 |
work_keys_str_mv | AT gooihoaybeng sizingofenergystorageformicrogrids AT chensx sizingofenergystorageformicrogrids AT wangmq sizingofenergystorageformicrogrids |