It’s a story that’s become all too familiar — high winds knock out a power line, and a community can go without power for hours to days, an inconvenience at best and a dangerous situation at worst.
It’s a story that’s become all too familiar — high winds knock out a power line, and a community can go without power for hours to days, an inconvenience at best and a dangerous situation at worst. UC Santa Cruz Assistant Professor of Electrical and Computer Engineering Yu Zhang and his lab are leveraging tools to improve the efficiency, reliability, and resilience of power systems, and have developed an artificial intelligence (AI) -based approach for the smart control of microgrids for power restoration when outages occur.
They describe their new AI model and show that it outperforms traditional power restoration techniques in a new paper published in the journal IEEE Transactions on Control of Network Systems, a top journal in the field of control systems and network science. Shourya Bose, a Ph.D. student in Zhang’s lab, is the paper’s first author.
“Nowadays, microgrids are really the thing that both people in industry and in academia are focusing on for the future power distribution systems,” Zhang said.
Read more at University of California - Santa Cruz
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