Enhancing Voltage Stability and Optimizing Power Management in DC Microgrids Using Model Predictive Control Considering Various Load Types
Instability problems caused by constant power loads as a result of the negative impedance effect are dealt with in this article. A comprehensive nonlinear model of a single-bus DC microgrid is developed, and a model predictive controller is designed to enhance voltage stability and optimize power management based on the developed model. Conventional control layers are replaced by a simplified optimal controller in the proposed approach in the presence of various load types, including constant power loads. Furthermore, the model and control strategy are extended to the multi-bus DC microgrid. Extensive stability analysis, including root locus methods and time-domain simulation, has been conducted in MATLAB/SIMULINK. The results confirm the effectiveness of the designed controller in maintaining system stability and improving performance under different operating conditions.
Authors
- Keith Corzine (ORCID: https://orcid.org/0000-0002-3611-2691)
- Leila Parsa (ORCID: https://orcid.org/0000-0002-3481-6812)
- Saeed Aliamooei-Lakeh (ORCID: https://orcid.org/0000-0003-3578-4119)
Institutions
- University of California, Santa Cruz (US)
Publication Details
- Published
- 2024-11-03
- DOI
- https://doi.org/10.1109/iecon55916.2024.10905407
- Citations
- 2
- Primary Topic
- Microgrid Control and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.66