ASSESSING RESILIENCE AS A PARTICULAR CASE OF SUPPLY CHAIN MANAGEMENT

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.