Synthetic medium voltage grids for the assessment of Smart Grid techniques

Huang, Rui; Arnold, Mark; Wellßow, Wolfram H.

doi:10.1109/isgteurope.2012.6465639

Cited by 13 publications

(8 citation statements)

References 4 publications

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“…For example, the works in [20][21][22][23][24] use data from existing grid models to estimate information of unobserved grids (i.e., supervised learning). On the other hand, the works [25][26][27][28] used socio-economic data, like population density map and electricity demand, to generate distribution networks models without prior knowledge on the power grids (i.e., unsupervised).…”

Section: Introductionmentioning

confidence: 99%

“…As grid data for the whole country are not available, we first propose an unsupervised method to infer their topology and characteristics starting from the publicly available locations of the EHV nodes and georeferenced energy demand data at high spatial resolution. With respect to existing unsupervised methods in [25][26][27][28] described above, our method relies on less information, requiring only the location of the EHV substations and the spatial distribution of the demand. Then, we proceed by identifying the PV hosting capacity of each estimated grid with a tractable OPF based on linearized grid models, including also how to optimally deploy BESSs to increase the grids' PV hosting capacity.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Countrywide PV hosting capacity and energy storage requirements for distribution networks: The case of Switzerland

2021

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Distributed photovoltaic (PV) generation is typically connected to power distribution grids, which are not designed to host a large amount of production if it is significantly larger than their nominal electricity demand. Given the prominent role of PV in energy transition pathways, modeling the existing power distribution infrastructure's constraints and limitations is key for its reliable techno-economical analysis and expansion. As countrywide models of the distribution grids are, in general, not available, this paper first tackles the problem of estimating medium voltage (MV) distribution grids starting from publicly available datasets. It then proposes a method to estimate the PV generation hosting capacity of such grids and extend it through energy storage systems. As a final contribution and ultimate objective, this paper proposes a method to derive cost-optimal plans for countrywide deployment of PV generation and energy storage systems considering the MV power distribution infrastructure's technical limitations. The distributed PV generation potential is modeled with high-spatially resolved capacity factors. Results are discussed using Switzerland as a case study.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Countrywide PV hosting capacity and energy storage requirements for distribution networks: The case of Switzerland

2021

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“…For several studies, e.g., [40,46,69,70], grids are synthesized by filling assumed topologies with values of parameters from data analyses. In other sudies, such as [49,[71][72][73], greenfield planning approaches are implemented. In contrast, structures like the IEEE case 9 [52] or the systems of Cinvalar [29] and Baran [30] appear simpler and could be constructed manually.…”

Section: Methodic Origin Of Datamentioning

confidence: 99%

Review of Steady-State Electric Power Distribution System Datasets

2020

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Publicly available grid datasets with electric steady-state equivalent circuit models are crucial for the development and comparison of a variety of power system simulation tools and algorithms. Such algorithms are essential to analyze and improve the integration of DER in electrical power systems. Increased penetration of DER, new technologies, and changing regulatory frameworks require the continuous development of the grid infrastructure. As a result, the number and versatility of grid datasets, which are required in power system research, increases. Furthermore, the used grids are created by different methods and intentions. This paper gives orientation within these developments: First, a concise overview of well-known, publicly available grid datasets is provided. Second, background information on the compilation of the grid datasets, including different methods, intentions and data origins, is reviewed and characterized. Third, common terms to describe electric steady-state distribution grids, such as representative grid or benchmark grid, are assembled and reviewed. Recommendations for the use of these grid terms are made.

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“…In some networks, a combination of different options may be necessary. New installed PVs in distribution networks in Germany have to be able to consume reactive power according to [6,7]. However, considering a further increase of PV feed-in in LV networks, when RPM by PV-inverters alone can no longer solve the over-voltage problems, a combination with OLTC and EVR are supposed to be the potential solution.…”

Section: Voltage Control Coordinationmentioning

confidence: 99%

Assessing the Combination and Coordination of Voltage Control Applications in LV Networks with Smart Grid Metrics

Huang¹,

Wolfram²,

Peter³

et al. 2016

CIRED Workshop 2016

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In Germany, the enormous growth of distributed generation (DG), in particular from photovoltaic (PV) panels, pushes the low voltage (LV) networks to their limits. Over-voltages in LV networks limit the further absorption of DG, especially in rural and suburban areas. Several voltage control (VC) applications can be implemented to solve these issues. These VC applications can be further combined or even coordinated with the help of information and communication technology (ICT) to improve the control effect. This paper focusses on the combination and coordination of these VC applications. The control effects are evaluated are evaluated for a wide range of artificial synthetic LV networks. The assessment is made with the help of the Smart Grid Metrics framework (SGM).

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Synthetic medium voltage grids for the assessment of Smart Grid techniques

Cited by 13 publications

References 4 publications

Countrywide PV hosting capacity and energy storage requirements for distribution networks: The case of Switzerland

Countrywide PV hosting capacity and energy storage requirements for distribution networks: The case of Switzerland

Review of Steady-State Electric Power Distribution System Datasets

Assessing the Combination and Coordination of Voltage Control Applications in LV Networks with Smart Grid Metrics

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