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Academic studies and long-term planning demand for highly sophisticated simulation of distribution system’s usage considering operational actions and repercussions of market driven measures when applied on a large scale. This paper presents enhancements to the SIMONA tool enabling a large-scale distribution system simulation of a lifelike 50,000 no...
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... Simulators for specific domains exist for many years now, drawing from the standard rationale that, once the system and the interaction of its components become too complex to describe them in terms of formulae and automatons, a simulation to assert assumptions is in order. For each individual domain, a sound selection of simulators exist, such as pandapower by Thurner et al. [12] and SIMONA by Kittl et al. [13] for power grids, or OMNeT++ by Varga et al. [14] for ICT simulations. ...
... It is, therefore, important to choose a modeling and simulation tool that fulfills these requirements. There are many good power system modeling and simulation tools such as pandapower by Thurner et al. [12] and SIMONA by Kittl et al. [13] for power grids. After a survey and discussion, DIgSILENT PowerFactory was selected for the power system modeling as it meets the selection criteria better than the other available tools. ...
Power grids are transitioning from an infrastructure model based on reactive electronics towards a smart grid that features complex software stacks with intelligent, pro-active and decentralized control. As the power grid infrastructure becomes a platform for software, the need for a reliable roll-out of software updates on a large scale becomes evident. In order to validate resilient large-scale software roll-out protocols, corresponding test beds are needed, which mirror not only Information and Communication Technology (ICT) networks, but also include the actual software being deployed, and show the interaction between the power grid and the ICT network during the roll-out, and especially during roll-out failures. In this paper, we describe the design implementation of a large-scale co-simulation testbed that combines ICT and power grid simulators. We pay specific attention to the details of integrating containerized software in the simulation loop.
... Simulators for specific domains exist for many years now, drawing from the standard rationale that, once the system and the interaction of its components become too complex to describe them in terms of formulae and automatons, a simulation to assert assumptions is in order. For each individual domain, a sound selection of simulators exist, such as pandapower by Thurner, Scheidler, Schäfer, et al. [11] and SIMONA by Kittl, Hiry, Wagner, et al. [12] for power grids, or OMNeT++ by Varga and Hornig [13] for ICT simulations. ...
... It is therefore important to choose a modeling and simulation tool that fulfills these requirements. There are many good power system modeling and simulation tools such as pandapower by Thurner, Scheidler, Schäfer, et al. [11] and SIMONA by Kittl, Hiry, Wagner, et al. [12] for power grids. After a survey and discussion, DIgSILENT PowerFactory was selected for the power system modeling as it meets the selection criteria better than the other available tools. ...
Power grids are transitioning from an infrastructure model based on reactive electronics towards a smart grid that features complex software stacks with intelligent, pro-active and decentralized control. As the power grid infrastructure becomes a platform for software, so does the need for a reliable roll-out of software updates on a large scale. In order to validate resilient large-scale software roll-out protocols, corresponding test beds are needed, which mirror not only ICT networks, but also include the actual software being deployed, and show the interaction between the power grid and the ICT network during the roll-out, and especially during roll-out failures. In this paper, we describe the design implementation of a large-scale co-simulation test bed that combines ICT and power grid simulators. We pay specific attention to the details of integrating containerized software in the simulation loop.
... To investigate to correct functionality of the developed approach a small application example has been simulated as a first proof of concept. The grid for this case has been selected from a large real world distribution grid [7] with focus on traceability to ensure an easy understanding of the GA optimisation process. ...
In recent years, the distribution grid planning process has faced the big challenge to integrate renewable energy sources in its planning methodology while preserving a secure and stable provision of electricity. With the currently observable efforts to electrify human mobility all around the world, another new challenge arises for the planning and operation of distribution grids. To address these challenges and to leverage the opportunities that are accompanied by them, new methods for the planning of distribution grids as well as planning decision-supportive approaches and algorithms are needed. The presented approach contributes to the described demands by means of a coupled approach, using both distribution grid time series as well as a genetic algorithm to support decision making in the planning process considering not only new assets for grid reinforcements and extensions but also smart-grid and operational opportunities.
