Effectiveness of Resilience Index in Assessing Power System Performance

The prediction of disaster increment in the upcoming year requires a proper strategy to prevent a widespread impact in electrical network. Quantitative, risk-based metrics are essential for capturing a power system condition during the planning, operating, and recovering stages of a disaster. Several studies have been conducted to develop strategy in quantifying resilience condition in electrical network. Yet, none of those indices nor method has been widely approved as a worldwide standard. Thus, this paper attempts to evaluate several resilience metrics, namely RICD, Ri, Rt, and Rtime, during a disaster in four different scenarios. The goal of this analysis was to seek the most appropriate index which will be able to capture the whole parameter of electrical system resilience. Typhoon Vicente is used as sample disaster on IEEE 6 bus power system which overlaid on South China area. The simulation shows that the resilience indices that are tested show significant different values for all resilience indices in each scenario. RICD and Rtime have a strong influence from the comparison of typhoon duration and total repair time, while the amount of loss load has a stronger influence on Ri and Rt. Thus, a new index that is able to capture both phenomenon is needed to capture the full picture of power system during disaster.