Improving Power Quality in Hydrogen-Based Microgrids Using PSO-MWWO
Author Information
Author(s): Hafiz Ghulam Murtza Qamar, Guo Xiaoqiang, Seif Ghith, 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 proposed PSO-MWWO technique significantly improves the power quality and cost-effectiveness 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.
- The approach integrates environmental considerations into energy management.
- Hydrogen storage was shown to improve grid resilience and reliability.
Takeaway
This study shows a new way to make hydrogen-powered energy systems work better and cost less, which is good for the environment.
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 related to hydrogen storage and infrastructure development.
Digital Object Identifier (DOI)
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