Improving Hydrogen-Based Microgrid Efficiency with PSO-MWWO Technique
Author Information
Author(s): Hafiz Ghulam Murtza Qamar, Guo Xiaoqiang, Seif Ghith Ehab, Tlija Mehdi, Siddique Abubakar
Primary Institution: King Saud University
Hypothesis
Can a novel bi-level optimization approach enhance the power quality and cost efficiency of hydrogen-based microgrid systems?
Conclusion
The PSO-MWWO technique significantly improves the efficiency and power quality of hydrogen-based microgrids compared to traditional methods.
Supporting Evidence
- The PSO-MWWO technique outperformed traditional methods in optimizing component sizing and renewable production.
- The study demonstrated a 94.9% improvement in cost-effectiveness through bi-level optimization.
- Simulation results confirmed the effectiveness of the proposed method in enhancing power quality.
Takeaway
This study shows how a new method can help make hydrogen-powered energy systems work better and cost less.
Methodology
The study employs a bi-level optimization approach using Particle Swarm Optimization and Modified Water Wave Optimization to enhance energy management and power quality in hydrogen-based microgrids.
Limitations
The study does not address all potential challenges in hydrogen storage and production, such as safety and infrastructure development.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website