Steady-state co-simulation with PowerFactory

Stifter, Matthias; Schwalbe, Roman; Andrén, Filip; Strasser, Thomas

doi:10.1109/mscpes.2013.6623317

Cited by 30 publications

(8 citation statements)

References 10 publications

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“…Until now, PowerFactory does not naturally provide any FMI-compliant functionality for model exchange or cosimulation. Instead, it comes with an interface that enables basic interactions with a simulation model [7], e.g., setting/retrieving values of parameters and variables, triggering power flow calculations and starting/stopping time-domain simulations. Furthermore, so-called events can be issued during runtime, which can change the system state at a specified point in simulation time.…”

Section: Fmi-based Co-simulation For Powerfactory a An Fmi-complmentioning

confidence: 99%

Towards Scalable FMI-based Co-simulation of Wind Energy Systems Using PowerFactory

Meer

Bhandia

Widl

et al. 2019

2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)

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Due to the increased deployment of renewable energy sources and intelligent components the electric power system will exhibit a large degree of heterogeneity, which requires inclusive and multidisciplinary system assessment. The concept of co-simulation is a very attractive option to achieve this; each domain-specific subsystem can be addressed via its own specialized simulation tool. The applicability, however, depends on aspects like standardised interfaces, automated case creation, initialisation, and the scalability of the co-simulation itself. This work deals with the inclusion of the Functional Mock-up Interface for co-simulation into the DIgSILENT PowerFactory simulator, and tests its accuracy, implementation, and scalability for the grid connection study of a wind power plant. The coupling between the RMS mode of PowerFactory and MATLAB/Simulink in a standardised manner is shown. This approach allows a straightforward inclusion of black-boxed modelling, is easily scalable in size, quantity, and component type. Index Terms-Co-simulation, grid integration, smart grid testing and validation, wind energy systems.

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Section: Fmi-based Co-simulation For Powerfactory a An Fmi-complmentioning

confidence: 99%

Towards Scalable FMI-based Co-simulation of Wind Energy Systems Using PowerFactory

Meer

Bhandia

Widl

et al. 2019

2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)

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“…This paper uses DIgSILENT to build wind farm model and uses MATLAB to realize reactive power control logics which distributes grid dispatching total reactive power requirement to each double-fed wind turbine according to equivalent power factor mode bases on comprehensive consideration of line reactive power loss, and then gives out the wind farm total reactive power simulation result, additionally, it apply the model into a real wind farm, and makes a deep analysis on errors comparing to the simulation result, such as resources of wind farm reactive power loss. Generally, we build wind farm reactive power control system with DIgSILENT/Power Factory15.1.7, and the calling process interface between two kinds of software must be built [23,24]. As shown in Figure 3, there are several sub blocks, Dispatch block get the set-point of wind farm reactive power disp Q , and Dispatch Ratio Limit block considers the regulation rate limit and give out the result rate Q , and the Control strategy of Matlab block applies the WFVC and WTGVD control logic, and creates the interface between the two kinds of software, which is called control system …”

Section: System Modelingmentioning

confidence: 99%

A Method for Wind Farm Reactive Power Controlling using DIgSILENT and MATLAB

Hua¹,

Ma²,

Wei³

2018

dtcse

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In order to regulate the voltages of Point of Common Coupling (PCC) and single wind turbine in a wind farm, it is necessary to control the output of reactive power of wind turbines, and in some case, it also need to control static var compensators (SVCs) or static var generators (SVGs) of the wind farm to satisfy the voltage set-point requirement. The accuracy of reactive power control system decides the control level of grid voltage. In order to improve the accuracy, this paper introduces modeling and simulation method of wind farm reactive power control system using DIgSILENT  and MATLAB . At first, it introduces the modeling process and co-calling principle of the two kinds of software tools, and then emphasizes that it develops a kind of advanced wind farm reactive power control logic to realize control accuracy improvement in MATLAB, whereas the power quality and distribution logic of reactive power among wind turbines are simulated and assessed. In the end, taking an Inner Mongolia wind farm with 33 double-fed wind turbines as a test application, the wind farm reactive power control model is verified by comparing real wind farm operating data and simulation results, and the result shows that the accuracy of reactive power control system is higher than traditional method.

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“…PSCAD/EMT design and control have also introduced a module for PSCAD‐PSS/E co‐simulation developed by E‐TRAN Plus which is intended for transmission level applications, and it employs a parallel processing interface protocol [14]. DIgSILENT PowerFactory is another commercial tool that has recently developed an interface for co‐simulation through a user‐defined models [15].…”

Section: Current State Of Hybrid Simulationmentioning

confidence: 99%