A spatially and temporally resolved model of the electricity grid – Economic vs environmental dispatch

Razeghi, Ghazal; Brouwer, Jack; Samuelsen, Scott

doi:10.1016/j.apenergy.2016.06.066

Cited by 16 publications

(2 citation statements)

References 55 publications

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“…Worldwide, energy systems are transforming towards low-carbon and renewable-based systems. The increasingly decentralized supply structure raises many research questions regarding structure, dimension and impact of the electricity transmission and distribution network [1][2][3][4][5][6][7][8][9][10]. Spatial grid data on overhead power lines, but also underground cables, are essential for these research areas [11].…”

Section: Discussionmentioning

confidence: 99%

Spatial Distribution of Overhead Power Lines and Underground Cables in Germany in 2016

Eichhorn

Thylmann

Peters

et al. 2018

Data

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In the context of transformative energy policy frameworks, such as the German “Energiewende”, state and federal agencies, regulators, and country planners need reliable data on the energy system infrastructure to make substantiated decisions about line routing and extension. The decision-making processes are accompanied by interdisciplinary research efforts in the areas of energy system planning and modelling, economic viability, and environmental impact, e.g., visual amenity or potential impacts on species. Proved data on the spatial distribution of the electricity transmission and distribution network can inform these efforts, in particular when combined with key technological parameters, like installed capacity, total size, and required space. Without these data, adequate assessments of potential impacts, e.g., the collision of birds with overhead lines, are not possible. However, no such comprehensive dataset exists for Germany. The dataset produced in this paper is based on open-source data using OpenStreetMap (OSM). It covers the spatial distribution of overhead power lines and underground cables of Germany, combined with the attributes needed for adequate environmental impact assessment of overhead lines, such as voltage levels, route length, and circuit lengths. Furthermore, the dataset is validated by different publicly available statistics provided by the German Federal Grid Agency and official spatial data of the Federal Office of Cartography and Geodesy.

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Section: Discussionmentioning

confidence: 99%

Spatial Distribution of Overhead Power Lines and Underground Cables in Germany in 2016

Eichhorn

Thylmann

Peters

et al. 2018

Data

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“…Brito et al developed seven piecewise linear generation models for hydro UC problems and compared the corresponding performance in Brazil's hydro system (Brito et al, 2020). Furthermore, some studies improved traditional ED under the rapid development of distributed energy (Velasquez et al, 2019), (Jian et al, 2020) and combined ED with environmental dispatch (Razeghi et al, 2016).…”

Section: Short-term Schedulingmentioning

confidence: 99%

Optimization of multi-temporal generation scheduling in power system under elevated renewable penetrations: A review

et al. 2023

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The traditional power generation mix and the geographical distribution of units have faced structural reform with the increasing renewables. The existing scheduling schemes confront the optimization challenges of multi-source collaborative and multi-temporal coordination. This paper reviews the optimization of generation scheduling in power systems with renewables integration in different time scales, which are medium- and long-term, short-term and real-time, respectively. First, the scheduling model and method are summarized. The connections and differences of the multi-source mathematic model with uncertainty, as well as the market mechanism, including thermal power, hydroelectric power, wind power, solar energy, and energy storage, are also indicated. Second, the scheduling algorithm and approach are sorted out from the two dimensions of certainty and uncertainty. The innovation and difference in algorithm between the traditional scheduling and the scheduling problem with renewables are presented. Meanwhile, the interaction and coupling relationship among the different time scales are pointed out in each section. The challenges and shortcomings of current research and references future directions are also provided for dispatchers.

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Impacts of plug-in electric vehicles in a balancing area

Razeghi

Samuelsen

2016

Applied Energy

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A spatially and temporally resolved model of the electricity grid – Economic vs environmental dispatch

Cited by 16 publications

References 55 publications

Spatial Distribution of Overhead Power Lines and Underground Cables in Germany in 2016

Spatial Distribution of Overhead Power Lines and Underground Cables in Germany in 2016

Optimization of multi-temporal generation scheduling in power system under elevated renewable penetrations: A review

Impacts of plug-in electric vehicles in a balancing area

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