
| Judul | New Power System and Symmetry / Edited by: Yongji Cao; Runjia Sun; Rui Wang; Jin Tan |
| Pengarang | Cao, Yongji Sun, Runjia Wang, Rui Tan, Jin |
| EDISI | - |
| Penerbitan | Basel : MDPI, 2026 |
| Deskripsi Fisik | 182p. :ill. |
| ISBN | 978-3-7258-8722-4 |
| Subjek | ELECTRIC POWER SYSTEMS |
| Catatan | This Reprint presents a curated collection of cutting-edge research on the stability, control, and symmetry principles of modern power systems with high renewable energy penetration. Originating from a successful Special Issue of the journal Symmetry, this volume brings together eight peer-reviewed articles and an Editorial that explore critical challenges in maintaining power balance and dynamic symmetry. The Reprint covers a diverse range of topics, including heterogeneous nodal frequency response modeling, data-driven emergency load shedding optimization, self-adaptive virtual synchronous generator control using neural network approaches, and renewable energy consumption capacity assessment. Further contributions explore typical scenario construction with spatiotemporal correlations, optimal flexibility dispatching of multi-pumped hydro storage stations, and dynamic security partition assessment based on symmetrical electrical distance matrices. This Reprint is an essential resource for researchers, engine |
| Bentuk Karya | Tidak ada kode yang sesuai |
| Target Pembaca | Tidak ada kode yang sesuai |
| Lokasi Akses Online |
https://www.mdpi.com/books/reprint/13369-new-power-system-and-symmetry |
| No Barcode | No. Panggil | Akses | Lokasi | Ketersediaan |
|---|---|---|---|---|
| 375926192 | 621.31 New | Baca Online | Perpustakaan Pusat - Online Resources Ebook |
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| 505 | # | # | $a This Reprint presents a curated collection of cutting-edge research on the stability, control, and symmetry principles of modern power systems with high renewable energy penetration. Originating from a successful Special Issue of the journal Symmetry, this volume brings together eight peer-reviewed articles and an Editorial that explore critical challenges in maintaining power balance and dynamic symmetry. The Reprint covers a diverse range of topics, including heterogeneous nodal frequency response modeling, data-driven emergency load shedding optimization, self-adaptive virtual synchronous generator control using neural network approaches, and renewable energy consumption capacity assessment. Further contributions explore typical scenario construction with spatiotemporal correlations, optimal flexibility dispatching of multi-pumped hydro storage stations, and dynamic security partition assessment based on symmetrical electrical distance matrices. This Reprint is an essential resource for researchers, engineers, and graduate students in electrical engineering, power system operations, and renewable energy integration, combining theoretical insights with practical case studies to advance the development of smarter and more resilient power grids. |
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| 700 | 1 | # | $a Sun, Runjia |
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