Regionalizing Input Data for Generation and Transmission Expansion Planning Models

Slednev, Viktor; Ruppert, Manuel; Bertsch, Valentin; Fïchtner, Wolf; Meyer-Hübner, Nico; Suriyah, Michael; Gerstner, Philipp; Schick, M.; Heuveline, Vincent

doi:10.1007/978-3-319-51795-7_13

Cited by 8 publications

(10 citation statements)

References 15 publications

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“…While the introduction of grid restrictions requires a discretisation of potentials, which are typically referenced to an area, to the buses of the electricity grid, a restructuring of the grid also requires a reallocation of this potential. Focussing on RES-E integration into a variable transmission grid topology, we developed an approach for a consistent regionalisation of decentralised loads and generators based on Voronoi polygons over the substations of the distribution grid [5]. Assuming a static graph-based representation of the distribution grid, the solution of the shortest path problem over this graph to the next available substation with a transformation to the transmission grid allows a dynamic reallocation of demand and generation profiles and RES-E potentials.…”

Section: Data Handlingmentioning

confidence: 99%

“…The regionalisation of demand profiles as well as the regionalisation of conventional power plants, which are not part of this paper, follows the same approach as published in [5]. The graph of the distribution grid is based on OSM data, while the transmission grid of selected European countries is modelled similarly to the approach published in [21].…”

Section: Data Handlingmentioning

confidence: 99%

“…The main requirements for such models include the following: First, a high granularity of temporal and spatial input data is important [4]. Second, these models need to be able to take into account the power grid's capacity and topology and its dynamic nature over the next decades according to national and European grid development plans [5]. The consideration of this dynamic nature is important because it has a major impact on where the RES-E generation will feed into the future transmission grid at a substation level which is highly relevant for long-term system planning.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Highly resolved optimal renewable allocation planning in power systems under consideration of dynamic grid topology

Slednev

Bertsch

Ruppert

et al. 2018

Computers & Operations Research

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The system integration of an increasing amount of electricity generation from decentralised renewable energy sources (RES-E) is a major challenge for the transition of the European power system. The feed-in profiles and the potential of RES-E vary along the geographical and temporal dimension and are also subject to technological choices and changes. To support power system planning in the context of RES-E expansion and allocation planning required for meeting RES-E targets, analyses are needed assessing where and which RES-E capacities are likely to be expanded. This requires models that are able to consider the power grid capacity and topology including their changes over time. We therefore developed a model that meets these requirements and considers the assignment of RES-E potentials to grid nodes as variable. This is a major advancement in comparison to existing approaches based on a fixed and pre-defined assignment of RES-E potentials to a node. While our model is generic and includes data for all of Europe, we demonstrate the model in the context of a case study in the Republic of Ireland. We find wind onshore to be the dominating RES-E technology from a cost-efficient perspective. Since spatial wind onshore potentials are highest in the West and North of the country, this leads to a high capacity concentration in these areas. Should policy makers wish to diversify the RES-E portfolio, we find that a diversification mainly based on bioenergy and wind offshore is achievable at a moderate cost increase. Including solar photovoltaics into the portfolio, particularly rooftop installations, however, leads to a significant cost increase but also to a more scattered capacity installation over the country.-2 -

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Section: Data Handlingmentioning

confidence: 99%

Section: Data Handlingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Highly resolved optimal renewable allocation planning in power systems under consideration of dynamic grid topology

Slednev

Bertsch

Ruppert

et al. 2018

Computers & Operations Research

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“…Spatial allocation of the yearly British electricity demand is performed according to the population data published on the third level of nomenclature of units for territorial statistic (NUTS). Based on the weighted areas on the NUTS-level, the assignment algorithm presented in [7] is performed to acquire the demand on the distribution grid substation level. National energy consumption values for each year were obtained from future energy scenarios (FES); however, transmission losses were excluded.…”

Section: Electricity Demandmentioning

confidence: 99%

“…The approach includes a graph-based representation of the distribution grid, which bases on the previously published method for the German transmission grid [7], as well as an approximation of transport capacities within the transmission grid based on the dataset published in the context of the electricity ten year statement by National Grid.…”

Section: Spatial Resolution and Allocationmentioning

confidence: 99%

Analysing the effect of increasing renewable capacities in Great Britain on the regional allocation and wholesale prices

Lupo¹,

Ruppert²,

Slednev³

et al. 2017

CIRED - Open Access Proceedings Journal

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Great Britain has begun to implement significant modifications that are ought to change the national electricity generation. Adding a large amount of renewable capacity to the energy mix will impact different areas of energy use from the landscape used for installation to the electricity market. This study presents an approach to determine the optimal locations of renewable energy installation based on predictions of renewable expansion under consideration of grid constraints. The occurring cost are analysed with regard to the expansion cost and the impact on the wholesale electricity prices.

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Utilising Distributed Flexibilities in the European Transmission Grid

Ruppert

Slednev

Finck

et al. 2019

Trends in Mathematics

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In this paper, we investigate the effect of distributed flexibilities on the operation of the transmission grid. The flexibilities considered are heat pumps, electric vehicles, battery energy storage systems and flexible renewable generation. For this purpose, we develop a two-stage approach of first determining an optimal electricity market solution considering the optimal dispatch of each generation element and flexibility. In the second step we determine the required dispatch adjustments due to transmission grid constraints and investigate the effect of integrating battery energy storage systems into the adjustable generators to solve congestions. In our case study, we investigate the central European transmission grid for a scenario based on the Distributed Generation scenario of the Ten-Year Network Development Plan for the year 2030. Integrating distributed flexibilities leads to a strong increase in the security of supply, while the overall effect on the generation adjustment is small. A comparison of the results for an AC and DC formulation shows that both approaches differ significantly in individual cases.

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Regionalizing Input Data for Generation and Transmission Expansion Planning Models

Cited by 8 publications

References 15 publications

Highly resolved optimal renewable allocation planning in power systems under consideration of dynamic grid topology

Highly resolved optimal renewable allocation planning in power systems under consideration of dynamic grid topology

Analysing the effect of increasing renewable capacities in Great Britain on the regional allocation and wholesale prices

Utilising Distributed Flexibilities in the European Transmission Grid

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