Abstract: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… Show more
“…A variety of studies have analyzed transmission and backup energy in future renewable power systems and costoptimal transition pathways in a similar way (Rodriguez et al, 2015a(Rodriguez et al, , 2015bBecker et al, 2014;Rasmussen et al, 2012;Schlachtberger et al, 2016;Hagspiel et al, 2014). However, the potentially crucial role of changes in climatic conditions have not yet been assessed in this context.…”
Abstract. Limiting anthropogenic climate change requires the fast decarbonization of the electricity system. Renewable electricity generation is determined by the weather and is hence subject to climate change. We simulate the operation of a coarse-scale fully renewable European electricity system based on downscaled highresolution climate data from EURO-CORDEX. Following a high-emission pathway (RCP8.5), we find a robust but modest increase (up to 7 %) of backup energy in Europe through the end of the 21st century. The absolute increase in the backup energy is almost independent of potential grid expansion, leading to the paradoxical effect that relative impacts of climate change increase in a highly interconnected European system. The increase is rooted in more homogeneous wind conditions over Europe resulting in intensified simultaneous generation shortfalls. Individual country contributions to European generation shortfall increase by up to 9 TWh yr −1 , reflecting an increase of up to 4 %. Our results are strengthened by comparison with a large CMIP5 ensemble using an approach based on circulation weather types.
“…A variety of studies have analyzed transmission and backup energy in future renewable power systems and costoptimal transition pathways in a similar way (Rodriguez et al, 2015a(Rodriguez et al, , 2015bBecker et al, 2014;Rasmussen et al, 2012;Schlachtberger et al, 2016;Hagspiel et al, 2014). However, the potentially crucial role of changes in climatic conditions have not yet been assessed in this context.…”
Abstract. Limiting anthropogenic climate change requires the fast decarbonization of the electricity system. Renewable electricity generation is determined by the weather and is hence subject to climate change. We simulate the operation of a coarse-scale fully renewable European electricity system based on downscaled highresolution climate data from EURO-CORDEX. Following a high-emission pathway (RCP8.5), we find a robust but modest increase (up to 7 %) of backup energy in Europe through the end of the 21st century. The absolute increase in the backup energy is almost independent of potential grid expansion, leading to the paradoxical effect that relative impacts of climate change increase in a highly interconnected European system. The increase is rooted in more homogeneous wind conditions over Europe resulting in intensified simultaneous generation shortfalls. Individual country contributions to European generation shortfall increase by up to 9 TWh yr −1 , reflecting an increase of up to 4 %. Our results are strengthened by comparison with a large CMIP5 ensemble using an approach based on circulation weather types.
“…22 However, these results also indicate that DC lines are prioritized when the grid restrictions are enforced. The share of DC in the total network expansion decreases monotonically as the grid restrictions are relaxed 21 In the optimal grid scenario considered by Hagspiel et al (2014), the grid for the entire ENTSO-E area was extended by 48 % between 2011 and 2030.…”
Section: Development Of Grid Capacitiesmentioning
confidence: 99%
“…To deal with the non-linear dependence of the PTDFs on the grid impedances, the models are solved iteratively by updating PTDF matrices until convergence is achieved as proposed in Hagspiel et al (2014). The iterative solution algorithm is based on two stages that are solved sequentially.…”
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.
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AbstractThe European electricity market design is based on zonal markets with uniform prices. Locational price signals within these zones -necessary to ensure long-term efficiency -are not provided.Specifically, if intra-zonal congestion occurs due to missing grid expansion, the market design is revealed as inherently incomplete. This might lead to severe, unwanted distortions of the electricity market, both in the short-and in the long-term. In this paper, we study these distortions with a specific focus on the impact of restricted grid expansion under zonal markets. For this, we use a long term fundamental dispatch and investment model of the European electricity system and gradually restrict the allowed expansion of the transmission grid per decade. We find that the combination of an incomplete market design and restricted grid expansion leads to a misallocation of generation capacities and the inability to transport electricity to where it is needed. Consequences are severe and lead to load curtailment of up to 2-3 %. Moreover, missing grid expansion makes it difficult and costly to reach envisaged energy targets in the power sector. Hence, we argue that in the likely event of restricted grid expansion, either administrative measures or -presumably more efficient -an adaptation of the current market design to include locational signals will become necessary.JEL classification: D47, C61, C63, Q40
“…However, the elements of matrix H depend nonlinearly on line reactances [44]. This means when line capacity changes, the reactance of the line changes, and a new matrix H should be calculated [45]. Thus, the optimization problems formulated in Sections II and III have to be solved iteratively with the updated H until the stopping criterion is met.…”
Section: The Power Transfer Distribution Matrixmentioning
confidence: 99%
“…For updating matrix H when line capacities change, the law of parallel circuits is used [42], [45]. We have:…”
Section: The Power Transfer Distribution Matrixmentioning
Abstract-This paper proposes mathematical models for sequential coordination of transmission expansion planning with strategic generation investments. The proactive and reactive coordinations are modeled and studied. The interaction between transmission company (Transco) and strategic generation companies (Gencos) is modeled using the sequential-move game. This is while the interaction between the strategic Gencos is modeled as a simultaneous-move game. In the proactive coordination, the Transco expands its future transmission capacities taking into account the strategic investments by Gencos. In the reactive coordination, strategic Gencos move first and expand their future generation capacities and then Transco expands the transmission capacity. The proactive coordination is modeled as a mixedinteger bilevel linear program (MIBLP) and the reactive coordination is modeled as a mixed-integer linear program (MILP). The MIBLP has binary variables in both upper and lower levels. The Moore-Bard algorithm is parallelized and used to solve the MIBLP. The mathematical models and the parallelized MooreBard algorithm are tested on 3-bus and 6-bus example systems and the modified IEEE-RTS96. Also, the IEEE 118-bus test system is studied using a heuristic version of the Moore-Bard algorithm.
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