Using Open Data for Modeling and Simulation of the All Electrical Society in eASiMOV

Çakmak, Hüseyin; Hagenmeyer, Veit

doi:10.1109/osmses54027.2022.9769145

Cited by 9 publications

(5 citation statements)

References 26 publications

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“…I23 -China2012 Northern China, 2012 [77], [78]. A subsynchronous oscillation (6)(7)(8) occurred between a wind farm and a series compensated transmission system (PQ). Such phenomena are highly dependent on loading/damping situation that shapes the grid impedance [77].…”

Section: Complexity and Sensitivity Of Oscillatory Incidentsmentioning

confidence: 99%

“…The progressing electrification of the mobility and heating sector, e.g. widespread use of heat pumps, as well as the integration of rooftop PV and battery energy storage systems (BESS) in residential areas leads to a vastly changed power flow and consumption pattern in low-voltage areas, that can cause serious congestion [6]. Furthermore, this yields that former loads now act as socalled prosumers, meaning that they also inject power during certain times.…”

Section: Introductionmentioning

confidence: 99%

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Survey of Real-World Grid Incidents–Opportunities, Arising Challenges and Lessons Learned for the Future Converter Dominated Power System

Wachter,

Gröll,

Hagenmeyer

2024

IEEE Open J. Power Electron.

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To reach the climate goals set by national and international institutions, a vast transition of the legacy power system is unavoidable. The necessary integration of distributed, renewable generation devices, which are often interfaced with power electronic converters, has a non-negligible influence on the characteristics of the power grid. This is particularly visible during abnormal grid conditions such as faults. For rotating machines, the fast-timescale reaction to these events is mainly determined by physical properties. However, power electronic devices lack this strong coupling and their behavior is generated by the control and automation system, making them a major field of interest during this transition. The present paper provides a survey of real-world incidents, as for example blackouts or oscillatory incidents, that are discussed with respect to the implications for future converter dominated power grids. For typical cascading outages it is shown, where the increasing penetration of distributed, renewable generation and smart grid technologies can be leveraged to increase the system resilience, e.g. by providing grid services through adequate control design or by enabling microgrid concepts. Further, real-world examples of newly emerging challenges driven by power electronic devices are presented. The mechanisms of control system interactions with the neighboring grid and its inherent complex dependency on various factors is illustrated. Lastly, resulting structural developments such as the changed resonance properties of low voltage grids and the increase of harmonic emissions are exemplified.

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Section: Complexity and Sensitivity Of Oscillatory Incidentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Survey of Real-World Grid Incidents–Opportunities, Arising Challenges and Lessons Learned for the Future Converter Dominated Power System

Wachter,

Gröll,

Hagenmeyer

2024

IEEE Open J. Power Electron.

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“…The impact of renewables in the low-voltage grid is rather part of studies that can be carried out with the generated grid models, see e.g. [18]. Thus, the automatically generated network topologies mainly depend on the assumed loads for the identified buildings in the modeled area, since the network topology is generated with an optimization algorithm based on load data.…”

Section: A Building Load Estimation Based On Variable Data Sourcesmentioning

confidence: 99%

Open Data-Driven Automation of Residential Distribution Grid Modeling With Minimal Data Requirements

Weber,

Janecke,

Çakmak

et al. 2024

IEEE Trans. Smart Grid

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In the present paper, we introduce a new method for the automated generation of residential distribution grid models based on novel building load estimation methods and a two-stage optimization for the generation of the 20 kV and 400 V grid topologies. Using the introduced load estimation methods, various open or proprietary data sources can be utilized to estimate the load of residential buildings. These data sources include available building footprints from OpenStreetMap, 3D building data from OSM Buildings, and the number of electricity meters per address provided by the respective distribution system operator (DSO).For the evaluation of the introduced methods, we compare the resulting grid models by utilizing different available data sources for a specific suburban residential area and the real grid topology provided by the DSO. This evaluation yields two key findings: First, the automated 20 kV network generation methodology works well when compared to the real network. Second, the utilization of public 3D building data for load estimation significantly increases the resulting model accuracy compared to 2D data and enables results similar to models based on DSO-supplied meter data. This substantially reduces the dependence on such normally proprietary data.

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“…These include DIgSILENT PowerFactory, NEPLAN, PSCAD, PSS/E, Dymola, MATLAB/Simulink, and OpenModelica. In addition, the in-house software framework eASiMOV (for energy grids Analysis, Simulation, Modeling, Optimization, and Visualization) [37,38] is also part of the EGSAL toolkit. As part of the ongoing work, a software module is under development that will combine the different simulation packages in a co-simulation environment.…”

Section: Simulation Softwarementioning

confidence: 99%

“…Additional computing infrastructure is available mainly for offline simulation and analysis, and testing software under development. These include: a GPU‐enhanced power workstation – 2 Intel Xeon(R) Platinum 8176M CPU @2.1 GHz with 28 cores per CPU and 2 threads per core, 1.5 TB RAM, and an NVIDIA Quadro GV100 GPU – is used for offline simulation and modeling work using commercial simulation software and the in‐house developed e ASiMOV framework; [ 37 ] a sector‐coupling server – 2 CPU‐Intel Xeon Platinum 8170 @2.1 GHz with 26 cores per CPU and 2 threads per core, 512 GB of RAM – applied for development work of a co‐simulation framework for the simulation of multi‐modal energy systems. [ 34 ] In addition, the high‐performance computing (HPC) cluster of the Karlsruhe Institute of Technology at the Steinbuch Center for Computing (SCC) is also used for accelerated parallel and distributed simulations with the goal of achieving online stability analysis in power grids.…”

Section: Egsal Infrastructurementioning

confidence: 99%

A Digital Framework for Locally and Geographically Distributed Simulation of Power Grids

et al. 2023

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The power system sector is expected to contribute significantly to addressing the global climate change challenge through solutions such as the integration of distributed energy resources with low carbon emissions and demand side management as part of the flexibility solutions. However, the transformations in the power grids necessitate additional solutions to ensure the stable and reliable operation of the grids. Such novel solutions require detailed studies in laboratories before implementation in real grids. Power systems simulations combined with power‐hardware‐in‐the‐loop (P‐HIL) experiments provide a reliable form of conducting such studies. The current article introduces the Energy Grids Simulations and Analysis Laboratory of the Energy Lab 2.0 as a digital framework enabling local and distributed analysis of power grids. The outstanding feature of the laboratory is its ability to connect the simulation of validated networks directly to the real hardware of the Energy Lab 2.0 in form of P‐HIL setups and virtually to distant energy research infrastructures, thus enabling geographically distributed experimental studies. Results of the benchmark case studies show that the communication methods available in the simulation laboratory can be used to accurately set up locally and geographically distributed simulations, as well as for reliably interfacing physical hardware components to real‐time simulations.

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Using Open Data for Modeling and Simulation of the All Electrical Society in eASiMOV

Cited by 9 publications

References 26 publications

Survey of Real-World Grid Incidents–Opportunities, Arising Challenges and Lessons Learned for the Future Converter Dominated Power System

Survey of Real-World Grid Incidents–Opportunities, Arising Challenges and Lessons Learned for the Future Converter Dominated Power System

Open Data-Driven Automation of Residential Distribution Grid Modeling With Minimal Data Requirements

A Digital Framework for Locally and Geographically Distributed Simulation of Power Grids

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