Microgrid Energy Management Using a Two Stage Rolling Horizon Technique for Controlling an Energy Storage System

Elkazaz, Mahmoud; Sumner, Mark; Pholboon, Seksak; Thomas, David

Abstract

In this paper, a new Energy Management (EM) strategy is proposed which uses a two-stage rolling horizon (RH) technique to control a battery energy storage system (BESS). The objectives of the control are to increase the self-consumption of the renewable energy resources (RES) and minimize the daily cost of the energy drawn from the main electrical grid. Mixed integer linear programming (MILP) optimization is used as a part of the RH technique to obtain the optimal control settings for the BESS. Using the RH technique and processing the control signals with two different time periods gives more optimal BESS settings which can overcome the errors associated with load prediction and operational constraints. Simulation results demonstrate that the proposed strategy can benefit MG customers and satisfy different market conditions.

Citation

Elkazaz, M., Sumner, M., Pholboon, S., & Thomas, D. (2018, October). Microgrid Energy Management Using a Two Stage Rolling Horizon Technique for Controlling an Energy Storage System. Presented at 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA), Paris, France

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA)
• Start Date: Oct 14, 2018
• End Date: Oct 17, 2018
• Acceptance Date: Jul 1, 2018
• Online Publication Date: Dec 10, 2018
• Publication Date: Oct 14, 2018
• Deposit Date: Apr 30, 2019
• Publicly Available Date: May 15, 2019
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 324-329
• ISBN: 9781538659823
• DOI: https://doi.org/10.1109/icrera.2018.8566761
• Keywords: State of charge, Optimization, Mathematical model, Microgrids, Mixed integer linear programming, Linear programming, Batteries
• Public URL: https://nottingham-repository.worktribe.com/output/1880895
• Publisher URL: https://ieeexplore.ieee.org/document/8566761
• Additional Information: © 2018 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: Apr 30, 2019