Analysis of Pre- and during COVID-19 Mixed Load Models on Unbalanced Radial Distribution System Using a New Metaphor-Less Rao Optimization

An unbalanced electrical distribution system (DS) with radial construction and passive nature suffers from significant power loss. The unstable load demand poor voltage profile resulted insufficient reactive in the DS. This research implements a unique Rao algorithm without metaphors for optimal allocation of multiple distributed generation (DG) static compensators (DSTATCOM). For appropriate sizing placement device, active loss, minimum value voltage, stability index are evaluated as multiobjective optimization to assess device’s impact on 25-bus system. Various models, including residential, commercial, industrial, battery charging, other dispersed loads, were integrated develop mixed model examining systems. unpredictable loading conditions resulting COVID-19 pandemic lockdown DS is examined. investigation studied role DG DSTATCOM (DGDST) penetration variations different types oscillations under critical emergency COVID-19. simulation results produced during scenario demonstrate proposed method’s efficacy distinct cases by lowering loss an enhanced create robust flexible network.