Simulating Measurement Attacks in a Scada System Testbed

Evolutions in the Elektrovojvodina SCADA system for MV network

10.1049/cp.2009.0579 ◽

2009 ◽

Author(s):

J. Aleksic ◽

B. Radmilovic

Keyword(s):

Scada System

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Distribution management system based on integrated design of GIS system and SCADA system

2006 China International Conference on Electricity Distribution (CICED 2006) ◽

10.1049/cp:20061615 ◽

2006 ◽

Author(s):

Ruihua Ren ◽

Fazhan Liu ◽

Limin Lv ◽

Bin Song ◽

Zhichao Che

Keyword(s):

Management System ◽

Integrated Design ◽

Distribution Management ◽

Scada System ◽

Gis System ◽

Distribution Management System

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Lifecycle Design of Disruptive SCADA Systems for Waste-Water Treatment Installations

Sustainability ◽

10.3390/su13094950 ◽

2021 ◽

Vol 13 (9) ◽

pp. 4950

Author(s):

Stelian Brad ◽

Mircea Murar ◽

Grigore Vlad ◽

Emilia Brad ◽

Mariuța Popanton

Keyword(s):

Waste Water ◽

Water Treatment ◽

Waste Water Treatment ◽

Value Added ◽

Competitive Advantages ◽

Major Focus ◽

Scada System ◽

Scada Systems ◽

And Control ◽

Lifecycle Design

Capacity to remotely monitor and control systems for waste-water treatment and to provide real time and trustworthy data of system’s behavior to various stakeholders is of high relevance. SCADA systems are used to undertake this job. SCADA solutions are usually conceptualized and designed with a major focus on technological integrability and functionality. Very little contributions are brought to optimize these systems with respect to a mix of target functions, especially considering a lifecycle perspective. In this paper, we propose a structured methodology for optimizing SCADA systems from a lifecycle perspective for the specific case of waste-water treatment units. The methodology embeds techniques for handling entropy in the design process and to assist engineers in designing effective solutions in a space with multiple constrains and conflicts. Evolutionary multiple optimization algorithms are used to handle this challenge. After the foundation of the theoretical model calibrated for the specific case of waste-water treatment units, a practical example illustrates its applicability. It is shown how the model can lead to a disruptive solution, which integrates cloud computing, IoT, and data analytics in the SCADA system, with some competitive advantages in terms of flexibility, cost effectiveness, and increased value added for both integrators and beneficiaries.

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Operation and approximation based on the history of failure modes recorded by SCADA system of Amougdoul Moroccan wind farm using FMECA maintenance model

Wind Engineering ◽

10.1177/0309524x21992456 ◽

2021 ◽

pp. 0309524X2199245

Author(s):

Kawtar Lamhour ◽

Abdeslam Tizliouine

Keyword(s):

Wind Turbines ◽

Wind Farm ◽

Failure Modes ◽

Wind Farms ◽

Scada System ◽

History Of ◽

Criticality Analysis ◽

Maintenance Model ◽

Reliability And Availability ◽

Critical Subsystems

The wind industry is trying to find tools to accurately predict and know the reliability and availability of newly installed wind turbines. Failure modes, effects and criticality analysis (FMECA) is a technique used to determine critical subsystems, causes and consequences of wind turbines. FMECA has been widely used by manufacturers of wind turbine assemblies to analyze, evaluate and prioritize potential/known failure modes. However, its actual implementation in wind farms has some limitations. This paper aims to determine the most critical subsystems, causes and consequences of the wind turbines of the Moroccan wind farm of Amougdoul during the years 2010–2019 by applying the maintenance model (FMECA), which is an analysis of failure modes, effects and criticality based on a history of failure modes occurred by the SCADA system and proposing solutions and recommendations.

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