Nov. 09, 2024
At the 2024 Annual Conference on Power and Energy of the Institute of Electrical Engineers of Japan (IEEJ) held on Thursday, September 5, 2024 at the Osaka Metropolitan University, TAKAHASHI Ryu, a first-year pre-doctoral student in the Network Design Program at the Graduate School of Advanced Mathematical Sciences, received the 2024 YPC Excellent Presentation Award of the Power and Energy Society, IEEJ.
At the IEEJ Annual Conference on Power and Energy, the YPC Excellent Presentation Award is given to an excellent poster presentation worthy of a young engineer among young researchers who gave a poster presentation and are under 35 years of age.
Awarded paper:
TAKAHASHI Ryu, FUKUYAMA Yoshikazu, YOSHIDA Hotaka, OI Akihiro, JINTSUGAWA Toru, FUJIMOTO Hisashi: “Connection phase estimation of pole-mounted transformers through majority voting of high quality solutions using only limited time sections;” paper I-13; IEEJ Annual Conference on Power and Energy; September 5, 2024
Paper content:
In power distribution systems in Japan, a voltage of 6,600 V on high-voltage distribution lines is lowered to 100 V or 200 V on low-voltage distribution lines using pole-mounted transformers to distribute electric power to users. At this time, two of the three phases of the high-voltage distribution line are selected as connection phases and connected to the pole-mounted transformer to lower the voltage. However, because, for example, many pole-mounted transformers are installed and the connection phases determined at the installation site, it is not possible for electric power companies to completely manage the connection phases of pole-mounted transformers. Therefore, it is necessary to estimate the connection phases.
In this paper, based on the concepts of ensemble learning and the proximate optimality principle (POP), the authors propose a method to estimate the connection phases of pole-mounted transformers through majority voting of high quality solutions using only sampled time sections. The authors also propose an evaluation method for the estimation accuracy of the estimated connection phases. The effectiveness of the proposed method was verified by comparing with the conventional method using actual data of a NEDO’s demonstration experiment.