抄録
The widespread introduction of functionally-smart inverters will be an indispensable factor for the large-scale penetration of distributed energy resources (DERs) via the power system. On the other hand, further smartization based on the data-centric operation of smart inverters (S-INVs) is required to cost-effectively achieve the same level of power system operational performance as before under circumstances where the spatio-temporal behavior of power flow is becoming significantly complex due to the penetration of DERs. This review provides an overview of current ambitious efforts toward smartization of operational management of DER inverters, clarifies the expected contribution of machine learning technology to the smart operation of DER inverters, and attempts to identify the issues currently open and areas where research is expected to be promoted in the future.
| 本文言語 | English |
|---|---|
| 論文番号 | 1330 |
| ジャーナル | Energies |
| 巻 | 16 |
| 号 | 3 |
| DOI | |
| 出版ステータス | Published - 2023 2月 |
ASJC Scopus subject areas
- 制御と最適化
- エネルギー（その他）
- 工学（その他）
- エネルギー工学および電力技術
- 電子工学および電気工学
- 燃料技術
- 再生可能エネルギー、持続可能性、環境
UN SDG
この成果は、次の持続可能な開発目標に貢献しています
