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Operational Risk Assessment of Industrial Networks: Issues and Challenges
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0001-9543-1302
2023 (English)In: 27th International Conference on Electricity Distribution (CIRED 2023), IEEE, 2023, p. 2998-3002, article id 11103Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE, 2023. p. 2998-3002, article id 11103
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electric Power Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-103644DOI: 10.1049/icp.2023.0946Scopus ID: 2-s2.0-85181531727OAI: oai:DiVA.org:ltu-103644DiVA, id: diva2:1828065
Conference
27th International Conference and Exhibition on Electricity Distribution (CIRED 2023), Rome, Italy, June 12-15, 2023
Note

ISBN for host publication: 978-1-83953-855-1; 

Available from: 2024-01-16 Created: 2024-01-16 Last updated: 2025-03-20Bibliographically approved
In thesis
1. Operational Risk Assessment of Electrical Power Transmission Systems
Open this publication in new window or tab >>Operational Risk Assessment of Electrical Power Transmission Systems
2025 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Electric power transmission systems transfer large amounts of power (typically hundreds of MW) over long distances (typically hundreds of kilometres) at high voltage (typically hundreds of kilovolts). The operational security of the transmission system has always been high top priority for the transmission system operator (TSO); because of this supply interruptions originating in the transmission grid are very rare. 

To maintain the high reliability of a transmission grid, TSOs deploy the N-1 operational security criterion. The predominant shortcoming of this criterion is that all contingency cases are treated as equal; no differential is made concerning probability and impact of individual contingency cases. 

Operational risk assessment complements the N-1 security assessment method, by incorporating the probability of contingency cases and their impact, the latter in terms of severity factors.  Important elements of operational risk assessment are lead time, instantaneous component outage model, contingency definition, contingency list and filtering, probability of contingency cases, and severity factor. The existing literature on operational risk assessment concentrates on contingency filtration and ranking. Only a limited amount of literature exists on definition of severity factors. 

The main purpose of this thesis is to identify and summarise different existing and required research trends on the fundamental elements of operational risk assessment.  The contributions of the thesis include:

  •   Identifying the fundamental elements of operational risk assessment and highlighting potential barriers against the practical implementation of operational risk assessment into the transmission system. Currently, TSOs are not deploying operational risk assessment, among others due to the absence of proper guidance and because of the high reliability resulting from the (N-1) criterion. Potential barriers against implementation of operational risk assessment, that were identified in the work, include absence of acceptable operational risk criteria, lack of a common and standardized set of severity factors, lack of sufficient knowledge on interpretation of operational risk results, and improper guidance on when and which types of measures are required to reduce the operational risk. 
  • Introducing multi-state component models, including hidden failures, to operational risk assessment. In the power grid, major blackouts occur due to contingency cases involving protection failures. Including protection and protection failures in operational risk assessment results in several practical and mathematical challenges. Practical challenges include obtaining transition rate data; mathematical challenges include computing the time-dependent state probability of a large Markov model. This thesis addresses these mathematical challenges and provides a way to resolve them.  
  • Clarifying the role of severity factor in operational risk assessment and proposing different deterministic and stochastic severity factors. The definition of the severity factor has a big impact on the way in which the results from operational risk assessment should be interpreted. A common set of severity factors is important for the interpretation of operational risk results and for the exchange of information and experience.

An important finding from this work is that operational risk assessment provides additional dimensions to the operational security planning, next to deterministic security criteria. However, several research gaps remain that need to be filled before implementation of operational risk assessment to existing transmission systems is possible.

Place, publisher, year, edition, pages
Luleå tekniska universitet, 2025
Series
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
Keywords
Stochastic Security Assessment, Contingency, Severity Factor, Interpretation of ORA, Component Outage Model, Protection Failure, Stochastic Severity Factor., .
National Category
Power Systems and Components
Research subject
Electric Power Engineering
Identifiers
urn:nbn:se:ltu:diva-112067 (URN)978-91-8048-799-3 (ISBN)978-91-8048-800-6 (ISBN)
Public defence
2025-06-04, Hörsal A, Luleå University of Technology, Skellefteå, 09:00 (English)
Supervisors
Projects
Operational Risk Assessment
Funder
Luleå University of Technology, 245110
Available from: 2025-03-20 Created: 2025-03-20 Last updated: 2025-03-20Bibliographically approved

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Nazir, Zunaira

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