Co-simulation set-up for testing controller interactions in distribution networks

Velásquez, Jorge; Castro, Fernando; Babazadeh, Davood; Lehnhoff, Sebastian; Kumm, Thomas; Heuberger, Daniel; Treydel, Riccardo; Luken, Tim; Garske, Steffen; Hofmann, Lutz

doi:10.1109/mscpes.2018.8405402

Cited by 1 publication

(2 citation statements)

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“…The current evolution of power systems from an unidirectional to a multi-directional power flow system, in which decentralized generation sources are increasing, impacts directly the way they are being operated to ensure the security and quality of electrical supply (Jakus et al 2015;Velasquez et al 2018). The intermittent nature of the renewable energy sources, in addition to their massive decentralized installation in distribution networks, pushes the implementation of different controller strategies to optimally manage the network, which require the joint participation of a large set of controllable elements (VDE (FNN) 2016).…”

Section: Introductionmentioning

confidence: 99%

“…In such a digitalized system, dynamic behavior is now not only influenced by the conventional centralized local controllers, but also by the high amount of decentralized controllers and their respective ICT infrastructure. The numerous amount of controllers in the system, in addition to the numerous amount of control schemes they can adopt and the inherent vulnerabilities of ICT systems (Otuoze et al 2018), may yield unforeseen unwanted and unprecedented dynamic behavior that could impact the power system security (Velasquez et al 2018). Therefore, dynamic behavior analyses must be able to include these new factors.…”

Section: Introductionmentioning

confidence: 99%

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Systematic dynamic assessment for resilient operation of distribution networks

et al. 2018

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The integration of decentralized energy resources is changing the ways distribution grids are being operated. Moreover, a major change is the implementation of active control strategies to adapt to the energy transition, such as voltage and reactive power in-feed control. Correspondingly, the dynamic nature of these controllers, the potential conflict of control objectives and uncertainty of these sources require frequent assessment of the system's dynamic behaviour. For this reason, this paper defines high level guidelines that allow simplifying Dynamic Security Assessment (DSA) in distribution networks, through the implementation of a methodology to determine the interactions of the network with its controllers. With this in mind, the focus of these guidelines is kept in reducing the computational effort, by reducing the number of dynamic simulations, as well as the amount of active controllers necessary for DSA. These guidelines are verified in an artificial 242-busbar distribution network, resulting in a reduction of 21,4% in number of dynamic simulations required for DSA.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%