Cooperative load frequency control of generator and battery using a recurrent neural network

Takato Otani, Ryu Tanabe, Yui Koyanagi, Shinichi Iwamoto

    研究成果: Conference contribution

    3 被引用数 (Scopus)

    抄録

    A frequency issue is one of the concerns caused by renewable energies. There is a possibility of losing a balance of the demand and the supply followed by a frequency disturbance when large amounts of the renewable energies are introduced. As a countermeasure against the problem, storage battery systems for the load frequency control are beginning to be introduced. Batteries have faster response, because it is a power electronics equipment and does not have mechanical components. However, a state of the charge of the battery needs to be maintained in order to make efficient use of the battery. In this paper, in order to use the introduced storage battery effectively, a control by a recurrent neural network is proposed. Recently, neural networks are attracting attention as an innovative control method. By training the neural network with particle swarm optimization, the frequency of the power system and the state of the charge of the storage battery are maintained simultaneously.

    本文言語English
    ホスト出版物のタイトルTENCON 2017 - 2017 IEEE Region 10 Conference
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ918-923
    ページ数6
    2017-December
    ISBN(電子版)9781509011339
    DOI
    出版ステータスPublished - 2017 12月 19
    イベント2017 IEEE Region 10 Conference, TENCON 2017 - Penang, Malaysia
    継続期間: 2017 11月 52017 11月 8

    Other

    Other2017 IEEE Region 10 Conference, TENCON 2017
    国/地域Malaysia
    CityPenang
    Period17/11/517/11/8

    ASJC Scopus subject areas

    • コンピュータ サイエンスの応用
    • 電子工学および電気工学

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