Combining SCADA, CIM, GridLab-D and AKKA for smart grid co-simulation

Bytschkow, Denis; Zellner, Martin; Duchon, Markus

doi:10.1109/isgt.2015.7131872

Cited by 13 publications

(3 citation statements)

References 8 publications

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“…Management of the distribution grid. Co-simulations were focused on synchronization mechanisms for SCADA systems, power feeders load balancing and power control, voltage regulation in power distribution networks, phasor measurement units regulation (Bytschkow et al, 2015;Troiano et al, 2016;Stevic et al, 2013;Bhor et al, 2016;Ahmad et al, 2015;Nguyen et al, 2017). A8.…”

Section: Research Areas and Research Problems (Rq1)mentioning

confidence: 99%

Smart Grids Co-Simulations: Survey & Research Directions

Mihal,

Schvarcbacher,

Rossi

et al. 2021

Preprint

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The integration of renewable sources, communication and power networks with information and communication technologies is one of the main challenges in Smart Grids (SG) large-scale testing. For this reason, the coupling of simulators is commonly used to dynamically simulate several aspects of the SG infrastructure, in the so-called cosimulations. In this paper, we provide a scoping review of research of co-simulations in the context of Smart Grids: i) research areas and research problems addressed by co-simulations, ii) specific co-simulation aspects focus of research, iii) typical coupling of simulators in co-simulation studies. Based on the results, we discuss research directions of future SG co-simulation research in each of the identified areas.

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Section: Research Areas and Research Problems (Rq1)mentioning

confidence: 99%

Smart Grids Co-Simulations: Survey & Research Directions

Mihal,

Schvarcbacher,

Rossi

et al. 2021

Preprint

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“…• 2015: Bytschkow et al ( 2015) combined GridLAB-D, CIM, and AKKA (Java-based co-simulation engine) to model a SCADA system [59].…”

Section: Power/telecommunications Co-simulation Enginesmentioning

confidence: 99%

Tools for modelling and simulating the Smart Grid

Czekster

2020

Preprint

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The Smart Grid (SG) is a Cyber-Physical System (CPS) considered a critical infrastructure divided into cyber (software) and physical (hardware) counterparts that complement each other. It is responsible for timely power provision wrapped by Information and Communication Technologies (ICT) for handling bi-directional energy flows in electric power grids. Enacting control and performance over the massive infrastructure of the SG requires convenient analysis methods. Modelling and simulation (M&S) is a performance evaluation technique used to study virtually any system by testing designs and artificially creating 'what-if' scenarios for system reasoning and advanced analysis. M&S avoids stressing the actual physical infrastructure and systems in production by addressing the problem in a purely computational perspective. Present work compiles a non-exhaustive list of tools for M&S of interest when tackling SG capabilities. Our contribution is to delineate available options for modellers when considering power systems in combination with ICT. We also show the auxiliary tools and details of most relevant solutions pointing out major features and combinations over the years.

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“…A co-simulation framework is proposed by Bytschkow et al [50] using Common information model (CIM) as an intermediate model. It uses the approach of federation enabling both simulation and deriving possible impacts.…”

Section: ) Co-simulation Frameworkmentioning

confidence: 99%

Assessing and augmenting SCADA cyber security: A survey of techniques

Nazir

Patel

2017

Computers & Security

148

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SCADA systems monitor and control critical infrastructures of national importance such as power generation and distribution, water supply, transportation networks, and manufacturing facilities. The pervasiveness, miniaturisations and declining costs of internet connectivity have transformed these systems from strictly isolated to highly interconnected networks. The connectivity provides immense benefits such as reliability, scalability and remote connectivity, but at the same time exposes an otherwise isolated and secure system, to global cyber security threats. This inevitable transformation to highly connected systems thus necessitates effective security safeguards to be in place as any compromise or downtime of SCADA systems can have severe economic, safety and security ramifications. One way to ensure vital asset protection is to adopt a viewpoint similar to an attacker to determine weaknesses and loopholes in defences. Such mind sets help to identify and fix potential breaches before their exploitation. This paper surveys tools and techniques to uncover SCADA system vulnerabilities. A comprehensive review of the selected approaches is provided along with their applicability.

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Combining SCADA, CIM, GridLab-D and AKKA for smart grid co-simulation

Cited by 13 publications

References 8 publications

Smart Grids Co-Simulations: Survey & Research Directions

Smart Grids Co-Simulations: Survey & Research Directions

Tools for modelling and simulating the Smart Grid

Assessing and augmenting SCADA cyber security: A survey of techniques

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