US Patent Issued to King Fahd University of Petroleum and Minerals on June 16 for "Deep reinforcement learning differential protection system for electric power networks" (Saudi Arabia Inventors)

ALEXANDRIA, Va., June 16 -- United States Patent no. 12,658,700, issued on June 16, was assigned to King Fahd University of Petroleum and Minerals (Dhahran, Saudi Arabia).

"Deep reinforcement learning differential protection system for electric power networks" was invented by Mohammed Taher Ali Alsaba (Dhahran, Saudi Arabia) and Mohamed Ali Abido (Dhahran, Saudi Arabia).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method for diagnosing a fault in an electric power distribution network includes measuring three-phase current signals from local and remote terminals of a protected zone on the network, and computing differential current signals based on the measured three-phase current signals. The differentia...