Integrated Assessment and Enhancement method for Resiliency Improvement under HILP Events in Distribution Power Networks

Abstract

Widespread power failures or blackouts may occur because of rare and catastrophic climatic conditions. Recent severe weather disasters have highlighted the need for new approaches and metrics to measure power system resilience in the face of high-impact low-probability (HILP) events. Network reconfiguration has proven to be crucial in preserving power supply continuity to local customers in such situations. This study proposes a quantitative and qualitative framework for assessing and enhancing power system resiliency. In this work, the assessment of power system resiliency is carried out by curve-based and probabilistic-based approaches and the power system resilience enhancement by including distributed generation and tie lines in the distribution system. The optimal location of DG and tie lines is decided by Genetic algorithm and optimal sizing of DG is decided by Differential Evolution based optimization approach considering the reliability cost. The proposed method is implemented in IEEE 33 bus and 69 bus distribution test systems under normal and HILP events in MATLAB/SIMULINK in 2019 version. The proposed probabilistic-based method is implemented on same test system under base case and HILP events in MIPOWER software to measure the enhancement level of resiliency using several resiliency metrics. The proposed model is also developed in OPALRT OP4510 HIL real time simulation platform. The simulation and real time simulation output show promising results in assessing and enhancing system resiliency in distribution grid networks. The outcomes clearly demonstrate how the suggested metrics can assess the resiliency of the power system and pertinent improvement measures.