Extended Horizon Predictive Control for Software Defined Networked Microgrids

Pérez Guzmán, Ricardo; Rivera, Marco; Araya, Baldomero; Gόmez, Juan S; Salgueiro, Yamisleydi; Restrepo, Carlos; Wheeler, Patrick; You, Minglei; Sumner, Mark

Abstract

This paper presents a model-based predictive control implementation (FCS-MPC) with extended horizon prediction to address the resiliency problem and voltage/frequency deviations for hierarchical microgrids. The proposed framework integrates Software-Defined Networking (SDN) as a set of microservices, where prediction models enable effective coordination and enhance system reliability by including communication constraints. The control strategy considers the variability of communication latency and packet loss to adjust the shared references based on the secondary control’s spatial and temporal correlation. The system is subjected to four test case scenarios to analyze the impact of communications in distributed generation, plugand-play capabilities, and load fluctuations on the microgrid. The proposed SDN-based framework enables the resolution of slow dynamic responses to parameter variations, by exploiting the advantages of FCS-MPC. The prediction block in the proposed secondary control outperforms traditional communication methods in terms of latency, recovery time, and packet loss among distributed energy resources, improving hierarchical microgrid performance.

Citation

Pérez Guzmán, R., Rivera, M., Araya, B., Gόmez, J. S., Salgueiro, Y., Restrepo, C., Wheeler, P., You, M., & Sumner, M. (2024). Extended Horizon Predictive Control for Software Defined Networked Microgrids

• Working Paper Type: Preprint
• Online Publication Date: Mar 6, 2024
• Publication Date: Mar 6, 2024
• Deposit Date: Nov 20, 2024
• DOI: https://doi.org/10.2139/ssrn.4750435
• Public URL: https://nottingham-repository.worktribe.com/output/35716795
• Publisher URL: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4750435