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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
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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
Tersedia
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245 # # $a New Power System and Symmetry /$c Edited by: Yongji Cao; Runjia Sun; Rui Wang; Jin Tan
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260 # # $a Basel :$b MDPI,$c 2026
300 # # $a 182p. : $b ill.
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.
650 # # $a ELECTRIC POWER SYSTEMS
700 1 # $a Cao, Yongji
700 1 # $a Sun, Runjia
700 1 # $a Tan, Jin
700 1 # $a Wang, Rui
856 # # $a https://www.mdpi.com/books/reprint/13369-new-power-system-and-symmetry
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