Transmission Expansion Planning in Electricity Markets

Torre, S. de la; Conejo, Antonio J.; Contreras, Javier

doi:10.1109/tpwrs.2007.913717

Cited by 226 publications

(113 citation statements)

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“…Many in-depth investigations of transmission planning for AC networks can be found in the literature [12]- [15]. However, HVDC network planning and its integration with the HVAC counterpart requires further development.…”

Section: Methodsmentioning

confidence: 99%

A Market-Based Transmission Planning for HVDC Grid—Case Study of the North Sea

Torbaghan

Gibescu

Rawn

et al. 2015

IEEE Trans. Power Syst.

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Abstract-There is significant interest in building HVDC transmission to carry out transnational power exchange and deliver cheaper electricity from renewable energy sources which are located far from the load centers. This paper presents an approach to solve a long-term transmission planning problem for meshed VSC-HVDC grids that connect regional markets. This is in general a nonlinear non-convex large-scale optimization problem with high computational burden, partly due to the many combinations of wind and load that become possible. We developed a two-step iterative algorithm that first selects a subset of operating hours using a clustering technique, and then seeks to maximize the social welfare of all regions and minimize the investment capital of transmission infrastructure subject to technical and economic constraints. The outcome of the optimization is an optimal grid design with a topology and transmission capacities that results in congestion revenue paying off investment by the end the project's economic lifetime. Approximations are made to allow an analytical solution to the problem and demonstrate that an HVDC pricing mechanism can be consistent with an AC counterpart existing onshore. The model is used to investigate development of the offshore grid in the North Sea. Simulation results are interpreted in economic terms and show the effectiveness of our proposed two-step approach.

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Section: Methodsmentioning

confidence: 99%

A Market-Based Transmission Planning for HVDC Grid—Case Study of the North Sea

Torbaghan

Gibescu

Rawn

et al. 2015

IEEE Trans. Power Syst.

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“…Later works also deploy other optimization methods, such as mixed-integer linear programming (Alguacil et al (2003), de la Torre et al (2008)), Benders decomposition (Binato et al (2001)) or heuristic methods (de Oliveira et al (2005)). …”

Section: Authors Simeon Hagspiel (Ewi)mentioning

confidence: 99%

Cost-optimal power system extension under flow-based market coupling

Hagspiel

Jägemann

Lindenberger

et al. 2014

Energy

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Abstract Electricity market models, implemented as dynamic programming problems, have been applied widely to identify possible pathways towards a cost-optimal and low carbon electricity system. However, the joint optimization of generation and transmission remains challenging, mainly due to the fact that different characteristics and rules apply to commercial and physical exchanges of electricity in meshed networks. This paper presents a methodology that allows to optimize power generation and transmission infrastructures jointly through an iterative approach based on power transfer distribution factors (PTDFs). As PTDFs are linear representations of the physical load flow equations, they can be implemented in a linear programming environment suitable for large scale problems. The algorithm iteratively updates PTDFs when grid infrastructures are modified due to cost-optimal extension and thus yields an optimal solution with a consistent representation of physical load flows. The method is first demonstrated on a simplified three-node model where it is found to be robust and convergent. It is then applied to the European power system in order to find its cost-optimal development under the prescription of strongly decreasing CO 2 emissions until 2050. Terms of use: Documents in

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“…These changes, lead to adjustments in TEPP models in order to include: congestion, annual costs, bilateral transactions, reliability and operation costs, among others [20][21][22][23][24][25][26][27][28][29]. The obtained expansion plans ensure equity to all market participants according to the considered information.…”

Section: Introductionmentioning

confidence: 99%

Transmission expansion planning considering multiple generation scenarios and demand uncertainty

Correa

Bolaños²,

Escobar

2014

Ingeniare. Rev. chil. ing.

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RESUMENEl presente artículo presenta una metodología para resolver el problema del Planeamiento de la Expansión de la Transmisión (PET) cuando se consideran Múltiples Escenarios de Generación (MEG) e incertidumbre en la demanda. Los MEG conllevan a múltiples patrones de flujo de potencia, como resultado del ambiente competitivo existente en los sistemas eléctricos. Por lo tanto, en este trabajo, los diferentes patrones de flujo son tomados en cuenta para evitar congestión futura en la red de transmisión y así evitar futuros cortes de carga. La solución de este problema es obtenida mediante el uso del algoritmo genético especializado de Chu-Beasley, que incluye una nueva estrategia de programación no lineal para la población inicial, usando el método de punto interior. También se incluye una etapa de diversificación que esparce las soluciones en el espacio de búsqueda para aumentar la capacidad de convergencia. A su vez, se tiene en cuenta la incertidumbre de la generación y la demanda mediante su inclusión en el modelo matemático, permitiendo variaciones en un rango determinado. Esta formulación está asociada con disminuciones importantes en los costos de los planes de expansión, cuando se comparan con los modelos tradicionales de generación y demanda fija. Con esta metodología se encuentran planes de expansión para el sistema de Garver de 6 barras y el sistema IEEE de 24 barras, obteniendo un corte de carga nulo bajo cualquier escenario de generación futuro.Palabras clave: Planeamiento de la transmisión, escenarios de generación, uncertainty, optimización, punto interior. ABSTRACT This paper shows a methodology for solving the Transmission Expansion Planning Problem (TEPP) when Multiple Generation Scenarios (MGS) and demand uncertainty are considered. MGS lead to

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Transmission Expansion Planning in Electricity Markets

Cited by 226 publications

References 20 publications

A Market-Based Transmission Planning for HVDC Grid—Case Study of the North Sea

A Market-Based Transmission Planning for HVDC Grid—Case Study of the North Sea

Cost-optimal power system extension under flow-based market coupling

Transmission expansion planning considering multiple generation scenarios and demand uncertainty

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