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Title:
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A Reduced Order Modeling approach for optimal allocation of Distributed Generation in power distribution systems
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Author:
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García Blanco, Raquel; Díez, Pedro; Borzacchiello, Domenico; Chinesta, Francisco
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Other authors:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental; Universitat Politècnica de Catalunya. LACÀN - Mètodes Numèrics en Ciències Aplicades i Enginyeria |
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Abstract:
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This paper presents an “offline-online” strategy for optimal allocation and sizing of Distributed Generation. In traditional optimization approaches, each function evaluation requires the solution of a power flow problem, which makes global optimality a computationally challenging goal. In the proposed strategy the power flow solver is invoked only once and a parametric solution is constructed with a monolithic solver. Despite the fact that the parametrized power flow equations result in a high-dimensional problem, the proposed algorithm is specifically designed to circumvent the curse of dimensionality. This is achieved through the application of Model Reduction, in particular the Proper Generalized Decomposition combined with a nonlinear solver. Numerical examples are carried out for showing the validity of the proposed method. |
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Abstract:
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Peer Reviewed |
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Subject(s):
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-Àrees temàtiques de la UPC::Enginyeria electrònica
-Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes numèrics
-Distributed generation of electric power--Mathematical models
-distributed power generation
-load flow control
-power distribution control
-power generation control
-reduced order Systems
-reduced order modeling approach
-optimal allocation
-distributed generation
-power distribution systems
-offline-online strategy
-optimal sizing
-power flow problem
-global optimality
-power flow solver
-monolithic solver
-parametrized power flow equation
-proper generalized decomposition
-nonlinear solver
-Energia elèctrica -- Distribució -- Models matemàtics |
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Rights:
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Document type:
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Article - Published version
Conference Object |
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Share:
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