Energy management system for microgrids including batteries with degradation costs

Integration of renewable energy source (RES) and energy storage system (ESS) in microgrids has a potential benefit to users and system operators. However, new operating issues brought by RES and high cost of ESS need to be scrutinized for economic operation of microgrids. In order to evaluate the ec...

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Main Authors: Ju, Chengquan, Wang, Peng
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2017
Subjects:
Online Access:https://hdl.handle.net/10356/82625
http://hdl.handle.net/10220/42325
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-826252021-01-08T07:04:03Z Energy management system for microgrids including batteries with degradation costs Ju, Chengquan Wang, Peng School of Electrical and Electronic Engineering Interdisciplinary Graduate School (IGS) 2016 IEEE International Conference on Power System Technology (POWERCON) Energy Research Institute @ NTU (ERI@N) Energy storage Energy management system Integration of renewable energy source (RES) and energy storage system (ESS) in microgrids has a potential benefit to users and system operators. However, new operating issues brought by RES and high cost of ESS need to be scrutinized for economic operation of microgrids. In order to evaluate the economic operation, this paper presents a predictive energy management system (EMS) for microgrids that manifests the process of battery degradation under the minimum system operating cost. The proposed EMS provides the power dispatch based on the hourly-ahead price and forecast data in a most cost-saving way, in which the battery degradation cost with respect to the depth of charge and lifetime is incorporated, transforming the long-term installation cost to the short-term operational cost that accounts for the real-time scheduling. The effectiveness of the proposed method is illustrated by case studies in the simulation. Accepted version 2017-05-04T02:39:18Z 2019-12-06T14:59:12Z 2017-05-04T02:39:18Z 2019-12-06T14:59:12Z 2016 Conference Paper Ju, C., & Wang, P. (2016). Energy management system for microgrids including batteries with degradation costs. 2016 IEEE International Conference on Power System Technology (POWERCON). https://hdl.handle.net/10356/82625 http://hdl.handle.net/10220/42325 10.1109/POWERCON.2016.7754011 en © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/POWERCON.2016.7754011]. 6 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Energy storage
Energy management system
spellingShingle Energy storage
Energy management system
Ju, Chengquan
Wang, Peng
Energy management system for microgrids including batteries with degradation costs
description Integration of renewable energy source (RES) and energy storage system (ESS) in microgrids has a potential benefit to users and system operators. However, new operating issues brought by RES and high cost of ESS need to be scrutinized for economic operation of microgrids. In order to evaluate the economic operation, this paper presents a predictive energy management system (EMS) for microgrids that manifests the process of battery degradation under the minimum system operating cost. The proposed EMS provides the power dispatch based on the hourly-ahead price and forecast data in a most cost-saving way, in which the battery degradation cost with respect to the depth of charge and lifetime is incorporated, transforming the long-term installation cost to the short-term operational cost that accounts for the real-time scheduling. The effectiveness of the proposed method is illustrated by case studies in the simulation.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Ju, Chengquan
Wang, Peng
format Conference or Workshop Item
author Ju, Chengquan
Wang, Peng
author_sort Ju, Chengquan
title Energy management system for microgrids including batteries with degradation costs
title_short Energy management system for microgrids including batteries with degradation costs
title_full Energy management system for microgrids including batteries with degradation costs
title_fullStr Energy management system for microgrids including batteries with degradation costs
title_full_unstemmed Energy management system for microgrids including batteries with degradation costs
title_sort energy management system for microgrids including batteries with degradation costs
publishDate 2017
url https://hdl.handle.net/10356/82625
http://hdl.handle.net/10220/42325
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