Matrix-Based Model For Assessing The Level Of Power System Resilience

Abstract

Sustained large scale outages caused from Low Probability High Impact (LPHI) events have become common in the recent past. Therefore, there is a need to reinforce the power system network so that it can absorb or withstand and adapt to the impacts of LPHI interruptions. This paper presents a model for assessing the level of resilience and the contribution that Distributed Generators (DGs) have on improving the power networks resilience. The assessment is applied on Uganda’s power network considering both existing and future DGs. Results from DIgSILENT software Simulations revealed a significant reduction in the Resilience Quotient (RQ) at each LPHI event upon addition of DGs on the network. These findings conclude that reconfiguring the network to accommodate the DGs improves network resilience by reducing the demand curtailed during LPHI events and also improves reliability through reduction of customers affected and thus increasing energy sales.