KAUST researchers are simulating cyberattacks on microgrids to assess their impact and develop detection/suppression methods. They used the Canadian urban distribution model with four inverter-based distributed generations (DGs) to capture system dynamics. The simulations considered attacks altering measurement data, modifying control signals, and causing sudden load changes, all of which had damaging effects. Why it matters: This research is crucial for ensuring the resilience of increasingly complex microgrids against cyber threats, especially as they become more integrated into critical infrastructure.
To meet Net Zero Emissions goals, governments and corporations need to drive a wholesale energy transition. Current energy grids are outdated and need to be updated to handle renewable energy's specific demands. Research at MBZUAI is helping to create smarter grids by using AI to monitor and measure energy flow in real-time. Why it matters: AI-empowered smart grids can help accelerate the energy transition by enabling more efficient and reliable use of renewable energy sources.
KAUST and King Abdulaziz University (KAU) are collaborating to develop low-cost sodium-ion battery technology using fly ash, a waste material from burning fossil fuels. Researchers are purifying fly ash and using thermal treatment to engineer its structure for use as carbon electrodes in batteries. The resulting carbon electrode material is competitive with existing market products and can be used for other applications. Why it matters: This research offers a sustainable approach to energy storage by repurposing waste materials, potentially enabling cheaper and more environmentally friendly grid-scale energy storage for renewable energy sources.
MBZUAI researchers are applying federated learning to optimize smart grids while protecting user data privacy. This approach leverages techniques from smart healthcare systems to enhance energy efficiency and local energy sharing. The research addresses the challenge of balancing grid optimization with the risk of user identity theft associated with traditional data-intensive smart grids. Why it matters: This research demonstrates a practical application of privacy-preserving AI in critical infrastructure, addressing key concerns around data security and fostering trust in smart grid technologies.
KAUST hosted the "Human-Machine Networks and Intelligent Infrastructures" conference, co-organized by Prof. Jeff Shamma and Asst. Prof. Meriem Laleg. The conference explored the blend of engineered devices and human elements in large-scale systems like smart grids. Keynote speaker Dr. Pramod Khargonekar discussed cyber-physical-social systems and emerging trends. Why it matters: The conference highlights the growing importance of understanding the interplay between AI, infrastructure, and human behavior in the development of smart cities and intelligent systems in the region.
MBZUAI researchers are using federated learning to optimize energy production and use in microgrids, balancing individual and grid-level needs with a focus on sustainability. They presented a multi-agent framework called MAHTM at the ICLR 2023 workshop, aiming to minimize the carbon footprint of electrical grids. The system uses three layers of decision-making agents to minimize cost, decrease carbon impact, and balance production. Why it matters: This research offers a novel approach to integrating renewable energy sources into existing grids, potentially accelerating the transition to more sustainable energy systems in the region and globally.
Khaled Alrashed, president and CEO of Saudi Electricity Company for Projects Development, discussed the challenges of future smart cities at a KAUST event. He emphasized the importance of smart grids, AI, and large-scale optimization for improving urban living. The Saudi Electricity Company is partnering with KAUST, including using the Shaheen supercomputer, to develop these technologies and predict grid load. Why it matters: This collaboration highlights Saudi Arabia's ambition to become a leader in smart city technology and renewable energy, leveraging local expertise and resources.
Munther Dahleh, director at the MIT Institute for Data, Systems, and Society (IDSS), discussed his group's research on network systems at the KAUST 2018 Winter Enrichment Program. The research focuses on the fragility of large networked systems, like highway systems, in response to disruptions that may lead to catastrophic failures. Dahleh's team studies transportation networks, electrical grids, and financial markets to understand system interconnection in causing systemic risk. Why it matters: Understanding networked systems is crucial for building resilient infrastructure and mitigating risks in critical sectors across the GCC region.