Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/1571
Título: Scheduling distributed energy resources in an isolated grid - an artificial neural network approach
Autor: Vale, Zita
Faria, Pedro
Morais, H.
Khodr, H. M.
Silva, Marco
Kadar, Peter
Palavras-chave: Distributed energy resources
Distributed generation
Power systems
Generation scheduling
ANN
Isolated grid
Data: 2010
Editora: IEEE
Resumo: Power Systems (PS), have been affected by substantial penetration of Distributed Generation (DG) and the operation in competitive environments. The future PS will have to deal with large-scale integration of DG and other distributed energy resources (DER), such as storage means, and provide to market agents the means to ensure a flexible and secure operation. Virtual power players (VPP) can aggregate a diversity of players, namely generators and consumers, and a diversity of energy resources, including electricity generation based on several technologies, storage and demand response. This paper proposes an artificial neural network (ANN) based methodology to support VPP resource schedule. The trained network is able to achieve good schedule results requiring modest computational means. A real data test case is presented.
URI: http://hdl.handle.net/10400.22/1571
ISBN: 978-1-4244-6549-1
978-1-4244-8357-0
Versão do Editor: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5589701
Aparece nas colecções:ISEP – GECAD – Comunicações em eventos científicos

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