Convex Optimization of Power Systems
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| Produkt | Varenr. | Pris | Handling |
|---|---|---|---|
| Convex Optimization of Power Systems | 9781107076877 | 649,95 kr | Til butik |
| Convex Optimization of Power Systems | 9781107076877 | 649,95 kr | Til butik |
Produktdetaljer
Convex Optimization of Power Systems
649,95 kr
Til butik- Varenr.:
- 9781107076877
Optimization is ubiquitous in power system engineering. Drawing on powerful, modern tools from convex optimization, this rigorous exposition introduces essential techniques for formulating linear, second-order cone, and semidefinite programming approximations to the canonical optimal power flow problem, which lies at the heart of many different power system optimizations. Convex models in each optimization class are then developed in parallel for a variety of practical applications like unit commitment, generation and transmission planning, and nodal pricing. Presenting classical approximations and modern convex relaxations side-by-side, and a selection of problems and worked examples, this is an invaluable resource for students and researchers from industry and academia in power systems, optimization, and control.
Læs mere hos Saxo DKConvex Optimization of Power Systems
649,95 kr
Til butik- Varenr.:
- 9781107076877
Optimization is ubiquitous in power system engineering. Drawing on powerful, modern tools from convex optimization, this rigorous exposition introduces essential techniques for formulating linear, second-order cone, and semidefinite programming approximations to the canonical optimal power flow problem, which lies at the heart of many different power system optimizations. Convex models in each optimization class are then developed in parallel for a variety of practical applications like unit commitment, generation and transmission planning, and nodal pricing. Presenting classical approximations and modern convex relaxations side-by-side, and a selection of problems and worked examples, this is an invaluable resource for students and researchers from industry and academia in power systems, optimization, and control.
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