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...
Saved in:
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/82625 http://hdl.handle.net/10220/42325 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-82625 |
---|---|
record_format |
dspace |
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 |
_version_ |
1688665315109502976 |