Stochastic investment in power system flexibility: a benders decomposition approach.

García Mariño, Fernando (2016). Stochastic investment in power system flexibility: a benders decomposition approach.. Proyecto Fin de Carrera / Trabajo Fin de Grado, E.T.S.I. Industriales (UPM).

Descripción

Título: Stochastic investment in power system flexibility: a benders decomposition approach.
Autor/es:
  • García Mariño, Fernando
Director/es:
  • Hernández Bayo, Araceli
Tipo de Documento: Proyecto Fin de Carrera/Grado
Fecha: Marzo 2016
Materias:
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

The efficient use of the available assets is the goal of the liberalized electricity market. Nowadays, the development of new technologies of renewable production results in a significant increase in the total installed capacity of this type of generation in the power system. However, the unpredictable nature of this resources results in a changing and non controllable generation that forces the power system to be constantly adapting to these new levels of production. Thermal units, that are the base of generation, are the responsible to replace this changing generation but their ramp rates may not be enough to cover it. Thus, resources must be developed to overcome these inconveniences. The degree to which these resources help system stability is called flexibility. In this thesis, depending on operational short-term or investment long-term decisions, different points of view about flexibility are studied. Short-term includes sources as adaptable demand or storage availability while long-term is examined with the investment. To study the influence of sources in short-term planning, a model of the National Electricity Market (NEM) of Australia is developed, while long-term decisions are tested in 6 and 30 node systems applying Benders decomposition. System Flexibility Index and economic benefit are calculated to measure flexibility. This indicators show that decisions that have to be taken by regulators or transmission system operator for the planning of the market improve when flexibility sources are added.

Más información

ID de Registro: 42975
Identificador DC: http://oa.upm.es/42975/
Identificador OAI: oai:oa.upm.es:42975
Depositado por: Biblioteca ETSI Industriales
Depositado el: 23 Sep 2016 08:58
Ultima Modificación: 23 Sep 2016 08:58
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