Co-simulation platform for interconnected power systems and communication networks based on PSS/E and OMNeT++

Ledesma, Pablo; Gotti, Davide; Amarís, Hortensia

doi:10.1016/j.compeleceng.2022.108092

Cited by 12 publications

(4 citation statements)

References 19 publications

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“…integrate them with the simulator. One solution is the PSS SINCAL, which allows communications to be established to achieve transmission and distribution to the grid [173][174][175]. � MATPOWER: This is an open-source tool for power simulation developed using MATLAB language.…”

Section: ✓ ✓mentioning

confidence: 99%

“… PSS: A commercial power system simulator (PSS) tool was developed by Siemens that includes different solutions to integrate them with the simulator. One solution is the PSS SINCAL, which allows communications to be established to achieve transmission and distribution to the grid [173–175]. MATPOWER: This is an open‐source tool for power simulation developed using MATLAB language.…”

Section: Modelling Simulation and Evaluationmentioning

confidence: 99%

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A review: Monitoring situational awareness of smart grid cyber‐physical systems and critical asset identification

Alrowaili

Saxena

Srivastava

et al. 2023

IET Cyber-Phy Sys Theory & Ap

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Cyber‐Physical Systems (CPSs) are becoming more automated and aimed to be as efficient as possible by enabling integration between their operations and Information Technology (IT) resources. In combination with production automation, these systems need to identify their assets and the correlation between them; any potential threats or failures alert the relevant user/department and suggest the appropriate remediation plan. Moreover, identifying critical assets in these systems is essential. With numerous research and technologies available, assessing IT assets nowadays can be straightforward to implement. However, there is one significant issue of evaluating operational technology critical assets since they have different characteristics, and traditional solutions cannot work efficiently. This study presents the necessary background to attain the appropriate approach for monitoring critical assets in CPSs' Situational Awareness (SA). Additionally, the study presents a broad survey supported by an in‐depth review of previous works in three important aspects. First, it reviews the applicability of possible techniques, tools and solutions that can be used to collect detailed information from such systems. Secondly, it covers studies that were implemented to evaluate the criticality of assets in CPSs, demonstrates requirements for critical asset identification, explores different risks and failure techniques utilised in these systems and delves into approaches to evaluate such methods in energy systems. Finally, this paper highlights and analyses SA gaps based on existing solutions, provides future directions and discusses open research issues.

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Section: ✓ ✓mentioning

confidence: 99%

Section: Modelling Simulation and Evaluationmentioning

confidence: 99%

A review: Monitoring situational awareness of smart grid cyber‐physical systems and critical asset identification

Alrowaili

Saxena

Srivastava

et al. 2023

IET Cyber-Phy Sys Theory & Ap

View full text Add to dashboard Cite

show abstract

“…It has a generic architecture with flexible tools that facilitate introducing new simulation https:// journal.uob.edu.bh/ scenarios. It has a very portable framework, hence it is compatible with different operating systems such as MAC , Linux, and Windows OS [23], [24], [25], [26]. The researchers in [27] examined five MAC layer protocols.…”

Section: Literature Reviewmentioning

confidence: 99%

Simulation of Multimedia Data Transmission Over WSN Based on MATLAB/SIMULINK

Dawood¹,

Abdul-Aziz²,

Daood³

et al. 2023

IJCDS

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The wireless sensor network (WSN) design requires investigating the effect of the transmit/receive operations on data quality. Having a convenient simulation model that facilitates and speeds up the work is a challenging task. The MATLAB/SIMULINK is considered as a handy tool that mimics real events for many applications. Unfortunately, the complete WSN model for multidimensional signals is not provided. Therefore, this paper introduces the MATLAB/SIMULINK model to deal with 1-D and 2-D signals in WSN. Many simulation blocks and codes have been programmed in this work to facilitate multimedia transmission over the WSN. The proposed multimedia WSN (MWSN) model will help WSN designers to plan and test their topology, taking into account most parameters and effects before implementing the network in real life. Hence, the WSN design time and cost will be reduced, as well as the malfunctioning will be avoided. Noise ,interference and path loss were the major parameters that affect the quality of the transferred data. Those parameters are experimented in this work using different multimedia signals and the received signal quality is measured using peak signal-to-noise ratio (PSNR), and bit error rate (BER). Additionally, different channels that add many levels of interference and signal-to-noise ratio are used to imitate reality. The ultimate goal of this research is to model the physical layer and modify the internal architecture of WSN nodes to deal with multimedia signals. Therefore, floating-point re-quantization and buffers are invoked to cope with the design requirements. The resultant simulation model is designed to be scalable and easy to expand for many different WSN topologies. The proposed MWSN has visualization features, in addition to the assessment tools that simplify results' analysis. Besides, the availability of tuning its parameters can help researchers to adopt it for different channels.

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“…Essential features such as transmission rate, latency, and protocol reliability can be measured during these experiments. The outcomes of simulation experiments provide insights into the efficacy of machine learning-based error correction methods and communication protocols in real-world applications [119,120]. Moreover, these experiments facilitate the comprehension of parameter effects and the optimization of parameters to achieve optimal results.…”

Section: A Simulation Experimentsmentioning

confidence: 99%

Machine Learning-Based Error Correction Codes and Communication Protocols for Power Line Communication: An Overview

Akinci,

Erdemir,

Zengin

et al. 2023

IEEE Access

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This study endeavors to investigate the effectiveness of machine learning-based methodologies in enhancing the performance and reliability of Power Line Communication (PLC) systems. PLC systems constitute a critical component within the domains of energy management, monitoring, and automation. The fundamental objective herein is to contribute significantly to the scholarly discourse by conducting a comprehensive review encompassing research investigations and practical applications documented in the extant literature. The primary motivation underpinning this research is predicated upon the necessity for a meticulous evaluation of machine learning techniques that hold the potential to enhance the efficacy and stability of PLC systems. The deployment of these techniques bears the promise of engendering heightened levels of efficiency across the spectrum of energy management, communication, and automation systems. Within this scholarly quest, the study posits a hypothesis: Machine learning-based methodologies possess the capacity to effect marked improvements in the performance and reliability of PLC systems. Methodological scrutiny is executed through a comprehensive evaluation of diverse machine learning techniques, including, but not limited to, deep learning, support vector machines, and random forests, facilitated by a series of empirical experiments and simulations. Empirical findings resoundingly corroborate the proposition, substantiating a significant enhancement in the operational performance of PLC systems when these machine learning methods are judiciously employed. In summation, this study assumes the role of a catalyst in exploring latent, untapped potential inherent within machine learning-based methodologies, customarily calibrated to resonate within the intricate matrix of PLC systems. The zenith of this rigorous investigation stands poised to illuminate the path toward transformative advancements in the domains of energy management, communication, monitoring, and automation systems. The findings contribute significantly to the academic discourse, offering a compass for future research inquiries and practical applications within this burgeoning and dynamic field. INDEX TERMSPower line communication, error correction codes, machine learning, transmission control protocols, communication protocols, power networks.

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Co-simulation platform for interconnected power systems and communication networks based on PSS/E and OMNeT++

Cited by 12 publications

References 19 publications

A review: Monitoring situational awareness of smart grid cyber‐physical systems and critical asset identification

A review: Monitoring situational awareness of smart grid cyber‐physical systems and critical asset identification

Simulation of Multimedia Data Transmission Over WSN Based on MATLAB/SIMULINK

Machine Learning-Based Error Correction Codes and Communication Protocols for Power Line Communication: An Overview

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