Smart Grids in Germany: How much costs do distribution grids cause at planning time?

Buchner, Jens S.; Katzfey, Jorg; Florcken, Ole; Moser, Albert; Schuster, Henning; Dierkes, Sebastian; Leeuwen, Tobias van; Verheggen, Lukas; Amelsvoort, Marie van; Uslar, Mathias

doi:10.1109/sedst.2015.7315211

Cited by 17 publications

(34 citation statements)

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“…It shows the apparent power in the MV feeder at the HV/MV station without (solid line) and with storage (dashed and dotted line) over a period of two days as well as the corresponding maximum apparent power for each of the three cases (horizontal lines). As can be seen, integrating a storage with 500 kW nominal power will reduce the maximum apparent power from around 1400 kW to around 1200 kW, while integrating a storage with 1100 kW nominal power will result in a maximum apparent power of around [2,31,73] and storage integration in LV grids would lead to a considerable increase in computing time, the used simplification of storage integration solely in MV grids is regarded as a valid choice.…”

Section: Storage Integration Methodologymentioning

confidence: 99%

“…by adding a new substation. [2,3,31,33] Necessary grid expansion measures are usually identified for two extreme loading cases with fixed simultaneities for loads and generators -the heavy load flow (HLF) and the reverse power flow (RPF). The HLF is characterized by maximum demand and zero or small feed-in by generators in the grid.…”

Section: Distribution Grid Planningmentioning

confidence: 99%

“…The RPF becomes increasingly relevant as capacity of DG increases [3,31,33]. It is deliberately not defined by maximum feed-in as a targeted reduction of feed-in of wind and solar generators is already an applied planning principle [2]. However, the exact definition of simultaneities for both design cases usually depends on broad assumptions by the grid operator.…”

Section: Distribution Grid Planningmentioning

confidence: 99%

“…Due to their relatively small nominal power these power plants are mainly connected to the distribution grid (e.g. [2,3]). This substantial transition of energy supply structure leads to more diverse power flow characteristics (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, the described energy transition most likely leads to substantial grid and storage expansion needs in the German power system (e.g. [2,3,[7][8][9][10]). For society it is of interest to find economically efficient solutions.…”

Section: Introductionmentioning

confidence: 99%

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Integrated techno-economic power system planning of transmission and distribution grids

Müller¹,

Schachler²,

Scharf³

et al. 2019

Preprint

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The energy transition towards renewable and more decentral power production triggers the need for grid and storage expansion on all voltage levels. Today's power system planning focuses on certain voltage levels or spatial resolutions. In this work we present an open source software tool eGo which is able to optimize grid and storage expansion throughout all voltage levels in a developed top-down approach. System costs are minimized by applying a linear optimal power flow considering the grid infrastructure of the extra-high and high-voltage (380 to 110 kV) level. Hence, the common differentiation of transmission and distribution grid is partly dissolved, integrating the high-voltage level into the optimization problem. Consecutively, optimized curtailment and storage units are allocated in the medium voltage grid in order to lower medium and low voltage grid expansion needs, that are consequently determined. Here, heuristic optimization methods using the non-linear power flow were developed. Applying the tool on future scenarios we derived cost-efficient grid and storage expansion for all voltage levels in Germany. Due to the integrated approach storage expansion and curtailment can significantly lower grid expansion costs in medium and low voltage grids and at the same time serve the optimal functioning of the overall system. Nevertheless, the cost-reducing effect for the whole of Germany was marginal. Instead, the consideration of realistic, spatially differentiated time series lead to substantial overall savings.

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Section: Storage Integration Methodologymentioning

confidence: 99%

Section: Distribution Grid Planningmentioning

confidence: 99%

Section: Distribution Grid Planningmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Integrated techno-economic power system planning of transmission and distribution grids

Müller¹,

Schachler²,

Scharf³

et al. 2019

Preprint

View full text Add to dashboard Cite

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Evaluation of Equivalent Dynamic Active Distribution Network Models with Individual and Aggregated Consideration of Grid Forming Converters

Ungerland

Lens

2023

Energy Tech

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Detailed active distribution network modeling in the context of stability studies of future power systems can be avoided by applying complexity‐reduced equivalent dynamic models. Previous work developed an approach to derive such equivalent dynamic network models of systems dominated by grid following and grid forming converters. Nevertheless, this approach lacks an investigation of the aggregation of multiple grid forming converters to one equivalent component. Also, the approach needs to be evaluated for a closed ring topology to substantiate its validity independent of the detailed network topology. This work applies and validates the developed approach on active distribution networks in the context of three scenarios. The detailed and equivalent network models are simulated for three events and the results are used to compare the models with respect to accuracy and complexity. The derived equivalent dynamic network models with an individual representation of grid forming converters reproduce the dynamic behavior of the corresponding detailed networks very well. The aggregation of grid forming converters results in an adequate reproduction of the detailed network's dynamic behavior under the constraint of aggregating only neighboring grid forming converters of one branch. This allows for the consideration of the detailed network's topology in the corresponding equivalent dynamic model.

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Enhancing operation of decentralized energy systems by a regional economic optimization model DISTRICT

Thomsen

2017

Energy Syst

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Smart Grids in Germany: How much costs do distribution grids cause at planning time?

Cited by 17 publications

References 0 publications

Integrated techno-economic power system planning of transmission and distribution grids

Integrated techno-economic power system planning of transmission and distribution grids

Evaluation of Equivalent Dynamic Active Distribution Network Models with Individual and Aggregated Consideration of Grid Forming Converters

Enhancing operation of decentralized energy systems by a regional economic optimization model DISTRICT

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