RISK-BASED ASSESSMENT AND STRENGTHENING OF ELECTRIC POWER SYSTEMS SUBJECTED TO NATURAL HAZARDS

Modern economic and social activities are dependent on a complex network of infrastructure systems that are highly interdependent. Electric power systems form the backbone of such complex network as most civil infrastructure systems cannot function properly without reliable power supply. Electric power systems are vulnerable to extensive damage due to natural hazards, as evident in recent hazard events. Hurricanes, earthquakes, floods, tornados and other natural hazards have caused billions of dollars in direct losses due to damage to power systems and indirect losses due to power outages, as well as social disruption. There is, therefore, a need for a comprehensive framework to assess and mitigate the risk posed by natural hazards to electric power systems. Electric power systems rely on various components that work together to deliver power from generating units to customers. Consequently, any reliable risk assessment methodology needs to take into account how the different components interact. This requires a system-level risk assessment approach. This research presents a framework for system-level risk assessment and management for electric power systems subjected to natural hazards. Specifically, risk due to hurricanes and earthquakes, as well as the combined effect of both is considered. The framework incorporates a topological-based system reliability model, probabilistic and scenario-based hazard analysis, climate change modeling, component vulnerability, component importance measure, multi-hazard risk assessment, and cost analysis. Several risk mitigation strategies are proposed; their efficiency and cost-effectiveness are studied. The developed framework is intended to assist utility companies and other stakeholders in making a risk-informed decision regarding short- and long-term investment in natural hazard risk mitigation for electric power systems. The framework can be used to identify certain parts of the system to strengthen, compare the efficiency and cost-effectiveness of various risk mitigation strategies using life-cycle cost analysis, compare risks posed by different natural hazards, and prioritize investment in the face of limited resources

相互依存性を有するクリティカルインフラストラクチャーの地震時性能と地震災害マネジメントに関する研究

京都大学0048新制・課程博士博士(工学)甲第17142号工博第3632号新制||工||1551(附属図書館)29881京都大学大学院工学研究科都市社会工学専攻(主査）教授 清野 純史, 教授 小池 武, 准教授 古川 愛子学位規則第4条第1項該当Doctor of Philosophy (Engineering)Kyoto UniversityDFA

WINDERFUL Wind and INfrastructures

WINDERFUL (an acronym for Wind and INfrastructures: Dominating Eolian Risk For Utilities and Lifelines) is the title of a research project carried out by eight Italian Universities from the end of 2001 to the end of 2003. The project was centred on how "to keep a city running and ensuring quality services during and after major windstorms", avoiding "major failures" of engineering facilities and main infrastructures. The book reports the main results obtained in the project, and for each typology the tool for assessing its reliability are discussed, together with the criteria for its improvement

Electrical Grid Resilience in Critical Infrastructure

The constant growth in world population and the constant technological advances, which lead to new equipment and solutions that become indispensable in the daily life of human beings, created a considerable increase in electricity's consumption. It is, therefore, essential to use this resource as efficiently as possible and in a way that reaches everyone safely. The need for resilient infrastructures is now emerging so that there is the ability to ensure their normal functioning after an adverse phenomenon so that the infrastructures and systems we depend on are not compromised. This problem applies to infrastructures that provide essential services on a day-to-day basis to the society, such as in this specific case study, a Data Center. In these cases, proper functioning is essential in times of crisis to technology companies and other entities that provide services to other companies or the average user. Following this problem arises the theme of this dissertation, whose implementation was carried out in a business context. A methodology is then proposed to quantify and evaluate the impact that an equipment's failure had on a given infrastructure, taking into consideration its im-portance and the time taken to resolve it, in a simple and easy to understand manner. This would be useful for all those who in the future need to recur to a detailed historical data, of critical and non-critical events, of this infrastructure. To obtain a quantitative value, a metric that considers the technical characteristics of the analyzed infrastructure will be used. These companies need to remain competitive with their target audience so that they can thrive in today's market. It is essential that they can understand how to deal with a failure in an equipment or component without neglecting the economic side since all decisions made thereafter should aim to return to the pre-event state as quickly as possible. There is, therefore, a need to understand the impact that a failure can have on an infrastructure to act accordingly to its severity. In the carried-out tests, it was concluded that the system provided values that allowed to order the events that occurred over a year according to their real impact and the simulations per-formed on randomly selected components were as intended