電気学会論文誌B(電力・エネルギー部門誌)
Online ISSN : 1348-8147
Print ISSN : 0385-4213
ISSN-L : 0385-4213
論文
系統定数推定機能付き強化学習LFCモデルの提案と実機検証
西村 翔太山口 順之
著者情報
ジャーナル 認証あり

2021 年 141 巻 6 号 p. 484-491

詳細
抄録

Nowadays, the introduction of renewable energy (RE) has been progressed from the perspective of considering environmental issues, there is concern that unstable output will increase. So system frequency control by existing generators becomes more important than ever. Even in system frequency control, Load Frequency Control (LFC) that support unpredictable short-period components of load fluctuations is expected to improve performance. Since Power-Frequency Constant of Area Requirement calculation of LFC changes from moment to moment, it is necessary to correctly estimate and update it to the best value in order to improve LFC performance.

In this study, we propose a new LFC method that has a function of estimating Power-Frequency Constant for the purpose of improving the performance of LFC even in situations when the introduction of RE has expanded. We use reinforcement learning, which is a machine learning method that does not use training data, to estimate Power-Frequency Constant. For the verification, we use a simulated power system consisting of experimental devices such as simulated generators and loads.

著者関連情報
© 2021 電気学会
前の記事 次の記事
feedback
Top