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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Main Authors: Gooi, Hoay Beng, Chen, S. X., Wang, M. Q.
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2013
Subjects:
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.
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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
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