Modeling Power Grid Recovery and Resilience Post Extreme Weather Events
The traditional N-1 power grid system is inadequate as it cannot withstand extreme weather events like hurricane, flooding, earthquake etc. Extreme event analysis reports by NERC, BPU, and ERCOT state that failure of outdoor grid components like distribution lines, transformers and generators lead to majority of the power outages where millions of customers get affected. This research addresses the problem of power grid resilience post an extreme weather event and how the grid recovery can be planned and executed. We propose a repair and recovery model for transmission lines for the case of Hurricane Harvey and analyze how the repair rate and the failure rate affect various performance metrics. We analyze how electric vehicles (EV) can be used as a potential alternative to build resilience of a power system in contingency. A mathematical model is developed for the EV battery swap process and the minimum spare battery requirement is analyzed for various scenarios. We present a Vehicle-to-Grid (V2G) based resilience model for critical loads like manufacturing facility during an extreme event. The main goal of this model is to determine the sizing and siting of the wind- and solar-based microgrid to ensure power resilience through island operations. Through this model, we analyze how the number of EVs, battery capacities, industrial production loss and the V2G service cost affect the levelized cost of energy (LCOE) in extreme weather condition.
Power resilience, Island microgrid, Extreme weather, Wehicle-to-grid operation, Battery swap, Prosumer energy transaction, Markovian model, Queueing theory
Kumaravelan, P. (2019). <i>Modeling power grid recovery and resilience post extreme weather events</i> (Unpublished thesis). Texas State University, San Marcos, Texas.