ASSESSING RESILIENCE AS A PARTICULAR CASE OF SUPPLY CHAIN MANAGEMENT

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RESILIENCE IN POWER GRIDS This thesis presents a linear programming model to assess power grid resilience as a particular case of Supply Chain Management. Power grids share basic characteristics with Supply Chain Management. Since resilient behavior is not an individual or specific system's attribute but a holistic phenomenon based on the synergic interaction within complex systems, resilience drivers in power grids were identified. Resilience is a function of Reliability, Recovery capability, Vulnerability and Pipeline Capacity. In order to embed heterogeneous variables into the model, parameterization of resilience drivers were developed. A principle of improving resilience through redundancy was applied in the model by using a virtual redundancy in each link which allows reliability improvement throughout the entire network. Vulnerability was addressed through a quantitative standard and mitigated through security allocation.Decision makers are enabled to improve overall power grid performance through reliability development as well as security allocation at the more strategic links identified by the optimal solutions.

Autorentext

UNIVERSITY: AERONAUTICAL ENGINEERING SCHOOL (graduated in December, 1992 as Aeronautical and Mechanical Engineer. POSTGRADUATE DEGREE: BUENOS AIRES UNIVERSITY - Graduated as HEALTH & SAFETY AT WORK SPECIALIST. US AIR FORCE INSTITUTE OF TECHNOLOGY (MASTER IN SCIENCES IN LOGISTICS & SC MANAGEMENT (2010)

Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Titel ASSESSING RESILIENCE AS A PARTICULAR CASE OF SUPPLY CHAIN MANAGEMENT
    • Veröffentlichung 22.04.2011
    • ISBN 3844328572
    • Format Kartonierter Einband
    • EAN 9783844328578
    • Jahr 2011
    • Größe H220mm x B150mm x T12mm
    • Autor Gabriel Montoya
    • Untertitel ASSESING RESILIENCE IN POWER GRIDS AS A PARTICULAR CASE OF SUPPLY CHAIN MANAGEMENT
    • Gewicht 292g
    • Genre Management
    • Anzahl Seiten 184
    • Herausgeber LAP LAMBERT Academic Publishing
    • GTIN 09783844328578

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