IEEJ Transactions on Power and Energy
Online ISSN : 1348-8147
Print ISSN : 0385-4213
ISSN-L : 0385-4213
Volume 143, Issue 10
Displaying 1-13 of 13 articles from this issue
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Paper
  • —Survey on Regulatory Systems and Business Cases of US, Germany and UK—
    Tomoyuki Yamada, Shigeru Bando
    2023 Volume 143 Issue 10 Pages 552-558
    Published: October 01, 2023
    Released on J-STAGE: October 01, 2023
    JOURNAL RESTRICTED ACCESS

    It is necessary to understand the situation in Western balancing service markets where they established them ahead of Japan to extract future issues and suggestions for Japan's balancing service market. We took up PJM in the U. S., Regelleistung in Germany, and National Grid ESO in the U. K., where DSR market participation is advanced, and surveyed the following three research perspectives. (1) regulation of balancing service markets, (2) DSR participation and price trends in the markets, and (3) business cases of DR and virtual power plants (VPP).

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  • Yuya Nagaki, Kyohei Hayashi, Hiroki Kojima, Masanobu Yoshida, Akira Ot ...
    2023 Volume 143 Issue 10 Pages 559-566
    Published: October 01, 2023
    Released on J-STAGE: October 01, 2023
    JOURNAL RESTRICTED ACCESS

    Aged CVTs have been often used in substations, but the expected lifetime of CVTs is unclear, so that it is difficult to determine the appropriate renewal time. Therefore, in this paper, we focus on oil-impregnated paper capacitors inside CVTs and propose a concept to evaluate their expected lifetime based on the partial discharge (PD) progress characteristics. By using a fundamental oil-impregnated paper capacitor model, the PD progress characteristics were measured and discussed from electrical and optical aspects.

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  • Seiichirou Oshima, Ken-ichiro Suehara, Humiya Hushimi, Hisahide Nakamu ...
    2023 Volume 143 Issue 10 Pages 567-573
    Published: October 01, 2023
    Released on J-STAGE: October 01, 2023
    JOURNAL RESTRICTED ACCESS

    This study proposes a new method to estimate the concentration of the furfural contained in the insulating oil of oil-filled transformer based on infrared spectroscopic spectrum of the insulating oil. In this study, first, spectrometry is carried out on the insulating oil collected and prepared by on-site sampling, accelerated aging test, and mixing and stirring. Second, selected explanatory variable from correlation coefficient between absorbance and furfural content in the oil. Finally, furfural content was estimated by PLS regression using various wavenumber patterns, and the results were compared to verify what kind of wavenumber pattern is useful.

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