The impact of microeconomic decisions in electricity market modelling on load flows in transmission grids

Ruppert, Manuel; Slednev, Viktor; Bertsch, Valentin; Fïchtner, Wolf

doi:10.1109/eem.2016.7521238

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…While large-scale battery systems allow to ignore external power inflow and outflow, which do not result from indirectly connected generators or consumption, this is only true for non-cascading pump storage systems. However, we will ignore the case of cascading systems in the following and refer to the description of its modelling [13]. Including a time series of natural inflow and the restriction of a potential minimal outflow, allows for modelling mixed-hydro pump storages and/or pure seasonal storages, with an empty set G inS in the last case.…”

Section: Storage Technologiesmentioning

confidence: 99%

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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Section: Storage Technologiesmentioning

confidence: 99%

Utilising Distributed Flexibilities in the European Transmission Grid

Ruppert

Slednev

Finck

et al. 2019

Trends in Mathematics

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“…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%

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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Meeting the Modeling Needs of Future Energy Systems

et al. 2017

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Structural changes in the energy sector have created considerable challenges for regulators, energy consumers, and suppliers. Energy researchers rely on quantitative modeling approaches to address these challenges. At the Karlsruhe Institute of Technology, we have developed several models to analyze today's and the future's energy markets to address the challenges for electricity networks as a result of intermittent renewable and decentralized power and heat supply and to find solutions for integrating demand response. This paper presents a survey of these approaches and discusses further challenges. The developed models have proved to be suitable for answering a range of research questions related to structural changes. As the energy sector remains in a constant state of flux, these models need to be further developed. This means coupling different energy sectors and markets and improving their technical accuracy as well as their spatial and temporal resolutions.

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The impact of microeconomic decisions in electricity market modelling on load flows in transmission grids

Cited by 4 publications

References 9 publications

Utilising Distributed Flexibilities in the European Transmission Grid

Utilising Distributed Flexibilities in the European Transmission Grid

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

Meeting the Modeling Needs of Future Energy Systems

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