Historical data based energy management in a microgrid with a hybrid energy storage system

Jia, Ke; Chen, Yiru; Bi, Tianshu; Lin, Yaoqi; Thomas, David W.P.; Sumner, M.

Abstract

In a micro-grid, due to potential reverse output profiles of the Renewable Energy Source (RES) and the load, energy storage devices are employed to achieve high self-consumption of RES and to minimize power surplus flowing back into the main grid. This paper proposes a variable charging/discharging threshold method to manage energy storage system. And an Adaptive Intelligence Technique (AIT) is put forward to raise the power management efficiency. A battery-ultra-capacitor hybrid energy storage system (HESS) with merits of high energy and power density is used to evaluate the proposed method with onsite measured RES output data. Compared with the PSO algorithm based on the precise predicted data of the load and the RES, the results show that the proposed method can achieve better load smoothing and maximum self-consumption of the RES without the requirement of precise load and RES forecasting.

Citation

Jia, K., Chen, Y., Bi, T., Lin, Y., Thomas, D. W., & Sumner, M. (2017). Historical data based energy management in a microgrid with a hybrid energy storage system. IEEE Transactions on Industrial Informatics, 13(5), 2597-2605. https://doi.org/10.1109/TII.2017.2700463

• Journal Article Type: Article
• Acceptance Date: Apr 25, 2017
• Online Publication Date: May 3, 2017
• Publication Date: Oct 31, 2017
• Deposit Date: Mar 6, 2018
• Publicly Available Date: Mar 6, 2018
• Journal: IEEE Transactions on Industrial Informatics
• Print ISSN: 1551-3203
• Electronic ISSN: 1941-0050
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 13
• Issue: 5
• Pages: 2597-2605
• DOI: https://doi.org/10.1109/TII.2017.2700463
• Keywords: Adaptive intelligent technique (AIT); Energy management; Hybrid energy storage system (HESS); Variable threshold
• Public URL: https://nottingham-repository.worktribe.com/output/890557
• Publisher URL: http://ieeexplore.ieee.org/document/7918619/
• Additional Information: c2017 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.
• Contract Date: Mar 6, 2018