A Matlab-Based Dynamic Simulation Module for Power System Transients Analysis in the eASiMOV Framework

Kyesswa, Michael; Çakmak, Hüseyin; Kühnapfel, Uwe; Hagenmeyer, Veit

doi:10.1109/ems.2017.36

Cited by 11 publications

(5 citation statements)

References 7 publications

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“…1, Step 1) or it uses a precomputed cable layout in GraphML-format [11]. In Step 2, the cable layout is converted into a power flow model that can be processed by the eASiMOV (Energy Systems Analysis, Simulation, Modeling, Optimization and Visualization) software framework [12], [13]. This framework uses the open-source simulation package MATPOWER [14] to simulate the power flow models (Step 3).…”

Section: Methodsmentioning

confidence: 99%

An Evaluation of Graph Algorithms for the Wind Farm Cable Layout Problem under Electrical Aspects

Gritzbach

Çakmak

Mehnert

et al. 2021

2021 56th International Universities Power Engineering Conference (UPEC)

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The task of the Wind Farm Cable Layout Problem is to design a cable system between turbines and substations such that all turbine output can be transmitted to the substations. This problem can be modelled with different levels of complexity. While a higher level of complexity yields solutions that can be implemented in a real-world setting more readily, problem instances also become more difficult to solve or even remain intractable. More simplistic models are easier to solve but their usability could be inhibited. One such more simplistic model for installation cost minimization contains a network flow and a suitable minimum-cost flow algorithm provides good cable layouts on instances with up to 500 turbines within tens of seconds. The question remains whether those cable layouts are feasible for electrical flows as well.We propose a workflow to evaluate cable layouts generated from such algorithms with respect to their performance under electrical aspects. This workflow converts the output of cable layout optimization algorithms to power flow models. The power flow models are simulated using the simulation framework eASiMOV.The evaluation of the power flow simulations under electrical metrics shows that output from the minimum-cost flow algorithm and from an approach solving a Mixed-Integer Linear Program perform very well under electrical aspects on a vast majority of input instances. For the remaining minority we are able to identify structures in the solutions that result in a worse performance. These observations can be used by the algorithm engineers as possible directions for future improvements.

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Section: Methodsmentioning

confidence: 99%

An Evaluation of Graph Algorithms for the Wind Farm Cable Layout Problem under Electrical Aspects

Gritzbach

Çakmak

Mehnert

et al. 2021

2021 56th International Universities Power Engineering Conference (UPEC)

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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%

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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“…m files for the PMSG generator and the generator‐side converter. Details about the additional component models, solution methodology, and simulation workflow in the extended transient stability analysis toolbox are given in [28, 29].…”

Section: Implementation In Matdynmentioning

confidence: 99%

Dynamic modelling and control for assessment of large‐scale wind and solar integration in power systems

Kyesswa

Çakmak

Kühnapfel

et al. 2020

IET Renewable Power Generation

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The integration of variable and unpredictable renewable energy sources into the current power networks introduces considerable changes in system operations. This poses enormous threats to the stability of the power system. Hence, it is essential to analyse the necessary adjustments in operation strategies in preparation for increased amounts of variable generation in existing power systems. The present study describes the dynamic modelling and integration of solar photovoltaic and wind power generation systems into a transient stability analysis toolbox. In view of the inherent connection of renewable energy generators to the electrical network through converter systems, the main contribution in the present study is the development of high‐level control functions to model converter interfaces with reference to standard grid operation codes. The dynamic models and corresponding control functions are tested using a network representing the transmission grid of the Baden‐Württemberg state in Germany as part of the assessment process to analyse the capability of the control functions for grid stability support. The simulation results show that the proposed converter control functions can equip renewable energy generators with equivalent features from a functional point of view to those of synchronous generators.

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A Matlab-Based Dynamic Simulation Module for Power System Transients Analysis in the eASiMOV Framework

Cited by 11 publications

References 7 publications

An Evaluation of Graph Algorithms for the Wind Farm Cable Layout Problem under Electrical Aspects

An Evaluation of Graph Algorithms for the Wind Farm Cable Layout Problem under Electrical Aspects

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

Dynamic modelling and control for assessment of large‐scale wind and solar integration in power systems

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