Cyber-physical interactive impacts on smart grids with renewable energy resources


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Adesina Oyewole, Adepeju Abiodun ORCID: (2021). Cyber-physical interactive impacts on smart grids with renewable energy resources. University of Birmingham. Ph.D.

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Cyber systems infrastructure is extensively integrated in smart grids to improve system control, monitoring, protection, and data processing. Effective operation of a smart grids with significant integration of cyber systems infrastructure depends on the availability of cyber network enabled functions. Smart grid’s dependency on cyber enabled functions exposes the whole system operation to cyber failures, cyber-attacks and causes changes in the system functionalities. However, the failures of cyber elements could affect power system security. Incorporating cyber failures and cyber presence is inevitable in security assessment process.

This thesis proposes a multi-state smart component model and a unified system level ternary Markovian cyber-physical components interaction model to operate in Monte Carlo simulation. The multi-state smart component model is based on differential time dependent Markovian framework to capture and simulate component operational behaviour of a smart grid environment. The framework quantitatively evaluates the impacts of smart components failure conditions in the presence of intermittent power outputs.

The unified ternary Markovian cyber-physical components interaction model is based on interactions and characteristics of three subsystem functional layers of the cyber physical power system operation with the presence of random and unforeseen contingencies. The framework also evaluates interdependency impacts on physical power system security. Investigations find that the ternary Markovian model at system level effectively captures the dynamics of subsystem layers' interactions in a cyber-physical power system operation.

Further, presence of cyber-attacks in a cyber-physical power system components operation could lead to severe insecurities. The thesis contributes in four folds: (1) an innovative multi-state smart component model, (2) a new mathematical state probability algorithm and an innovative performance assessment algorithm, (3) an advanced unified ternary Markovian model and (4) an embedded innovative cyber-physical performance assessment algorithm. The thesis provides bases for a holistic assessment of interactions in the decision-making layer, information, communication and coupling layer and power system layer in a cyber-physical power system.

Type of Work: Thesis (Doctorates > Ph.D.)
Award Type: Doctorates > Ph.D.
Licence: All rights reserved
College/Faculty: Colleges (2008 onwards) > College of Engineering & Physical Sciences
School or Department: School of Engineering, Department of Electronic, Electrical and Systems Engineering
Funders: None/not applicable
Subjects: Q Science > QA Mathematics
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering


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