Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/1393
Título: Demand response programs definition supported by clustering and classification techniques
Autor: Ramos, Sérgio
Morais, H.
Vale, Zita
Faria, Pedro
Soares, João
Palavras-chave: Clustering
Data mining
Demand Response (DR)
Energy resources management
Mixed Integer Non-Linear Programming (MINLP)
Data: 2011
Editora: IEEE
Resumo: The growing importance and influence of new resources connected to the power systems has caused many changes in their operation. Environmental policies and several well know advantages have been made renewable based energy resources largely disseminated. These resources, including Distributed Generation (DG), are being connected to lower voltage levels where Demand Response (DR) must be considered too. These changes increase the complexity of the system operation due to both new operational constraints and amounts of data to be processed. Virtual Power Players (VPP) are entities able to manage these resources. Addressing these issues, this paper proposes a methodology to support VPP actions when these act as a Curtailment Service Provider (CSP) that provides DR capacity to a DR program declared by the Independent System Operator (ISO) or by the VPP itself. The amount of DR capacity that the CSP can assure is determined using data mining techniques applied to a database which is obtained for a large set of operation scenarios. The paper includes a case study based on 27,000 scenarios considering a diversity of distributed resources in a 33 bus distribution network.
URI: http://hdl.handle.net/10400.22/1393
ISBN: 978-1-4577-0809-1
978-1-4577-0808-4
Versão do Editor: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6082185
Aparece nas colecções:ISEP – GECAD – Comunicações em eventos científicos

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