This inventor holds 2 USPTO granted patents. Top assignee: King Fahd University of Petroleum and Minerals. Active years: 2013-2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2013-2022
Title: Innovations by Mohammad Ali Ali Hassan
Introduction
Mohammad Ali Ali Hassan is a notable inventor based in Dhahran, Saudi Arabia. He has made significant contributions to the field of autonomous microgrids, showcasing his expertise through his innovative patents. With a total of 2 patents, his work focuses on enhancing the efficiency and stability of microgrid systems.
Latest Patents
His latest patents include a "Method for stabilizing an autonomous microgrid including an active load" and a "Particle swarm optimization system and method for microgrids." The first patent outlines a method for improving an autonomous microgrid, which incorporates various controllers to manage inverter-based distributed generations. This system is designed to optimize power-sharing coefficients and controller parameters through a weighted objective function calculated via particle swarm optimization. The second patent formulates a control problem as an optimization problem, utilizing PSO to find optimal parameter settings for both grid-connected and autonomous modes.
Career Highlights
Mohammad Ali Ali Hassan is affiliated with the King Fahd University of Petroleum and Minerals, where he contributes to research and development in the field of energy systems. His work is instrumental in advancing the technology behind microgrids, which are essential for sustainable energy solutions.
Collaborations
He collaborates with notable colleagues, including Mohammad Ali Yousef Abido and Mohammad Ali Abido, to further enhance the research and application of microgrid technologies.
Conclusion
Mohammad Ali Ali Hassan's innovative work in the field of autonomous microgrids demonstrates his commitment to advancing energy technology. His patents reflect a deep understanding of complex systems and optimization methods, contributing to the future of sustainable energy solutions.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
