Distributed Predictive Control Strategy for Frequency Restoration of Microgrids Considering Optimal Dispatch

F., Alex Navas; Gomez, Juan S.; Llanos, Jacqueline; Rute, Erwin; Saez, Doris; Sumner, Mark

Abstract

Microgrids are the cornerstone for a new model of electrical generation based on renewable resources. Commonly microgrids are controlled with a centralised hierarchical structure, which is inherited from power systems. However, a time-scale separation between traditional fast frequency restoration and slow economic dispatch may be counterproductive in the long run because the slow long-term economic dispatch increases the prediction uncertainty. In an effort to improve the economical operation of microgrids, this work proposes a distributed model predictive control strategy for the operation of isolated microgrids based on a consensus strategy that tackles both the economic dispatch and frequency restoration over the same time-scale. The proposed controller can operate without knowledge of the microgrid's topology: instead, typical local measurements and other information from neighboring generation units are required. Experimental results demonstrate that the controller is robust to load variations and communication issues, but the plug-and-play nature of the system is preserved.

Citation

F., A. N., Gomez, J. S., Llanos, J., Rute, E., Saez, D., & Sumner, M. (2021). Distributed Predictive Control Strategy for Frequency Restoration of Microgrids Considering Optimal Dispatch. IEEE Transactions on Smart Grid, 12(4), 2748-2759. https://doi.org/10.1109/tsg.2021.3053092

• Journal Article Type: Article
• Acceptance Date: Jan 9, 2021
• Online Publication Date: Jan 20, 2022
• Publication Date: 2021-07
• Deposit Date: Feb 17, 2022
• Publicly Available Date: Feb 17, 2022
• Journal: IEEE Transactions on Smart Grid
• Print ISSN: 1949-3053
• Electronic ISSN: 1949-3061
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Peer Reviewed: Peer Reviewed
• Volume: 12
• Issue: 4
• Pages: 2748-2759
• DOI: https://doi.org/10.1109/tsg.2021.3053092
• Keywords: General Computer Science
• Public URL: https://nottingham-repository.worktribe.com/output/5693254
• Publisher URL: https://ieeexplore-ieee-org.nottingham.idm.oclc.org/document/9328905
• Additional Information: © 2021 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.