W.-Y. Chiu
Demand-side energy storage system management in smart grid
Chiu, W.-Y.; Sun, Hongjian; Poor, H.V.
Abstract
An economical way to manage demand-side energy storage systems in the smart grid is proposed by using an H∞ design. The proposed design can adjust the stored energy state economically according to the price signal, while tolerating a certain degree of system uncertainty and having physical constraints on the stored energy level satisfied. Roughly speaking, batteries in the proposed design are charged during a low-price period while being discharged during a high-price period for cost control. Simulations show that the proposed energy storage system can meet the real-time power demand and save money in the long term in contrast to energy storage systems using constant-state schemes.
Citation
Chiu, W.-Y., Sun, H., & Poor, H. (2012, November). Demand-side energy storage system management in smart grid. Presented at Smart Grid Communications (SmartGridComm), 2012 IEEE Third International Conference on, Tainan, Taiwan
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | Smart Grid Communications (SmartGridComm), 2012 IEEE Third International Conference on |
Publication Date | Nov 8, 2012 |
Deposit Date | Apr 16, 2013 |
Publicly Available Date | Feb 7, 2014 |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 73-78 |
Series Title | Durham Energy Institute |
Book Title | Smart grid communications (SmartGridComm), 2012 IEEE third International conference on. |
DOI | https://doi.org/10.1109/smartgridcomm.2012.6485962 |
Public URL | https://durham-repository.worktribe.com/output/1155920 |
Files
Accepted Conference Proceeding
(1.1 Mb)
PDF
Copyright Statement
© 2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
You might also like
Energy-based Predictive Root Cause Analysis for Real-Time Anomaly Detection in Big Data Systems
(2025)
Presentation / Conference Contribution
Integrated Sensing and Communications With Mixed Fields Using Transmit Beamforming
(2024)
Journal Article
Optimal Energy Scheduling of Digital Twins Based Integrated Energy System
(2024)
Presentation / Conference Contribution
Decarbonising Heating with Power-Hydrogen Optimisation
(2024)
Presentation / Conference Contribution
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search