DAE Solvers for Large-Scale Hybrid Models

Henningsson, Erik; Olsson, Hans; Vanfretti, Luigi

doi:10.3384/ecp19157491

Cited by 15 publications

(9 citation statements)

References 15 publications

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“…This minimizes the number of states events that can arise during simulation. State events require reinitialization of the differential-and-algebraic equation model, and thus, degrade simulation performance [32]. Therefore, noEvent helps avoiding such events, improving simulation performance.…”

Section: Modelica Implementationmentioning

confidence: 99%

“…The power system model, shown in Fig. 5, was implemented using Modelica language and the OpenIPSL [33,34] in Dymola [32,35] in order to study the performance of the proposed automatic re-synchronization controller. The controller architecture was placed inside the DER generator model (G22) at the distribution network, as shown in Fig.…”

Section: Power System Modeling and Simulation Set-up Implementationmentioning

confidence: 99%

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A PMU-Based Control Scheme for Islanded Operation and Re-synchronization of DER

Mukherjee

Fernandes

Vanfretti

2021

International Journal of Electrical Power & Energy Systems

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This article proposes a novel synchrophasor-based control scheme enabling controlled islanding, islanded operation and automatic re-synchronization of a distributed energy resource (DER) in a distribution network. The performance of the proposed control system is studied using a test power system model. The DER controller uses a centralized architecture, receiving phasor measurement unit (PMU) measurements from both the transmission and distribution grids. In simulation, the frequency control function inside the proposed controller uses frequency estimates calculated using a new formula that exploits the bus voltage in rectangular form (real and imaginary values). The performance of the proposed frequency computation method is studied and compared with the conventional washout filter (WF) approach used by most power system software tools. The study also discusses why unwrapped bus angles are necessary to perform the automatic re-synchronization process. The performance of the proposed controller is evaluated using both deterministic and stochastic load models, allowing the assessment of variability in distribution grids. The implementation of the proposed control scheme and the simulation of the test system is carried out leveraging rich features of Modelica language and the Open-Instance Power System Library (OpenIPSL).

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Section: Modelica Implementationmentioning

confidence: 99%

Section: Power System Modeling and Simulation Set-up Implementationmentioning

confidence: 99%

A PMU-Based Control Scheme for Islanded Operation and Re-synchronization of DER

Mukherjee

Fernandes

Vanfretti

2021

International Journal of Electrical Power & Energy Systems

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“…In the latter case, the loops of the original model are considered as blocks inside the optimization loop, and are solved in full each outer iteration. Compare DAE mode versus ODE mode for dynamic simulation (Braun, Casella and Bachmann, 2017;Henningsson, Olsson and Vanfretti, 2019). To keep the system of equations as small as possible we here choose the latter alternative.…”

Section: Causality Of the Data Assimilation Optimization Modelmentioning

confidence: 99%

New Equation-based Method for Parameter and State Estimation

Mesa-Moles¹,

Henningsson²,

Bouskela³

et al. 2021

Linköping Electronic Conference Proceedings

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To get reliable simulation results from a Modelica model it is important to parametrize and initialize the model using the best estimate of the state of the system. Commonly, this state estimation is done by inverse calculation on a square system of equations requiring as many known values as states to be computed. In practice this constraint is an important limitation and, in addition, this method does not provide any information on the uncertainties or confidence level associated to the estimated state.Taking advantage of the mathematical formulation of Modelica equations, this paper presents a new method to cope with the difficulties associated to the inverse calculation method. This approach adapts and extends the framework of data assimilation to provide a fullyintegrated Modelica tool, which efficiently can handle every type of state estimation problem for static models. This method has been successfully tested with simple and complex Modelica models. Finally, the Modelica implementation of this technique allows to easily extend it to further applications.

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“…At the same time, efforts have been made to ease a wide adoption by both development of automatic conversion methods for creation of standard test cases (Razik, Dinkelbach, et al 2018;Gómez et al 2019) and computation time improvements (Francesco Casella, Leva, and Andrea Bartolini 2017;Braun, Francesco Casella, and Bachmann 2017;Henningsson, Olsson, and Vanfretti 2019), for example through the use of DAE-mode integration. However, fundamental performance barriers remain on these two fronts, hampering the full operational use of generalpurpose Modelica tools to handle simulations involving national-or continental-scale grids; this motivated for instance the development of a mixed C++/Modelica approach by RTE (Guironnet et al 2018).…”

Section: Introductionmentioning

confidence: 99%

ScalableTestGrids - An Open-Source and Flexible Benchmark Suite to Assess Modelica Tool Performance on Large-Scale Power System Test Cases

Casella¹,

Guironnet²

2021

Linköping Electronic Conference Proceedings

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This paper introducesScalableTestGrids, an open-source and flexible benchmark suite for assessing the performance of Modelica tools on large-scale power system test cases. The benchmark suite is built by using components from the PowerGrids library and generic utility scripts creating the final runnable Modelica models. It does not depend on confidential data; its structure makes any future needed modification or evolution easy and straightforward. Results obtained with the OpenModelica tool are also reported. The benchmark suite can be used by tool developers to assess the capability of their tools to handle large-scale power generation and transmission models.

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DAE Solvers for Large-Scale Hybrid Models

Cited by 15 publications

References 15 publications

A PMU-Based Control Scheme for Islanded Operation and Re-synchronization of DER

A PMU-Based Control Scheme for Islanded Operation and Re-synchronization of DER

New Equation-based Method for Parameter and State Estimation

ScalableTestGrids - An Open-Source and Flexible Benchmark Suite to Assess Modelica Tool Performance on Large-Scale Power System Test Cases

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