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[Graduate School of Advanced Mathematical Sciences] KOBAYASHI Yuto received the YPC Incentive Award and the YOC Excellent Presentation Award at the 2023 Power and Energy Society Meeting of the Institute of Electrical Engineers of Japan

Nov. 29, 2023

Mr. KOBAYASHI Yuto, a second-year student in the Master’s program of the Network Design Program at the Graduate School of Advanced Mathematical Sciences (FUKUYAMA Yoshikazu Laboratory), received the YPC Incentive Award and the YOC Excellent Presentation Award at the 2023 Power and Energy Society Meeting of the Institute of Electrical Engineers of Japan.

At the Power and Energy Society Meeting of the Institute of Electrical Engineers of Japan, the YPC Incentive Award is given to young researchers of 35 years of age or younger among the poster presenters for their excellent poster presentation suitable for young engineers, and the YOC Excellent Presentation Award is given to young researchers of 35 years of age or younger among the paper presenters for their excellent paper presentation suitable for young engineers.

Award-winning paper: KOBAYASHI Yuto, FUKUYAMA Yoshikazu, SEKI Kojiro, OI Akihiro, YOSHIDA Hotaka, JINTSUGAWA Toru, FUJIMOTO Hisashi : construction site optimization for voltage imbalance improvement in distribution systems by fast improved integer-type population-based incremental learning, the I-13 paper of the Power and Energy Society Meeting of the Institute of Electrical Engineers of Japan, September 4, 2023

In the distribution system of the electric power system, the introduction of solar energy generation equipment has advanced in general households in recent years, and the problem of the voltage imbalance between the three phase high-voltage distribution lines has become remarkable. In order to suppress the voltage imbalance, this paper investigated a method that simultaneously solves two optimizations, one at the transposition point, which changes the wiring between the three phases, and the other at the point of the connected phase switch of the column transformer. The proposed method using integer-type population-based incremental learning, which is one of the evolutionary calculation methods applied to combinatorial optimization, was applied to a distribution line model using real distribution line data, and it was confirmed that an imbalance can be corrected with as little work as possible. This research was conducted jointly with Fuji Electric Co., Ltd.
The above paper was presented as both a poster presentation and a paper presentation, and both presentations were awarded.

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