Distributed Optimization with Application to Power Systems and Control
Seiten
2022
KIT Scientific Publishing (Verlag)
978-3-7315-1180-9 (ISBN)
KIT Scientific Publishing (Verlag)
978-3-7315-1180-9 (ISBN)
Mathematical optimization techniques are among the most successful tools for controlling technical systems optimally with feasibility guarantees. Yet, they are often centralized-all data has to be collected in one central and computationally powerful entity. Methods from distributed optimization overcome this limitation. Classical approaches, however, are often not applicable due to non-convexities. This work develops one of the first frameworks for distributed non-convex optimization.
Erscheinungsdatum | 23.11.2022 |
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Zusatzinfo | graph. Darst. |
Sprache | englisch |
Maße | 148 x 210 mm |
Gewicht | 420 g |
Themenwelt | Technik ► Elektrotechnik / Energietechnik |
Schlagworte | ADMM • Aladin • decentralized optimization • Dezentrale Optimierung • Distributed Optimization • Optimal power flow • Verteilte Optimierung |
ISBN-10 | 3-7315-1180-0 / 3731511800 |
ISBN-13 | 978-3-7315-1180-9 / 9783731511809 |
Zustand | Neuware |
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