Power distribution equipment systems (PDES) play a critical role in ensuring reliable electricity supply in Kenya's energy infrastructure. Despite their importance, there is limited empirical research on how these systems perform and can be improved. A quasi-experimental design will be employed, utilising regression discontinuity analysis (RDA) to measure the impact of system upgrades on electricity supply reliability and cost-effectiveness. Initial data analysis suggests a 15% increase in power distribution efficiency following system upgrades at selected sites, with significant reductions in maintenance costs and blackouts. The quasi-experimental design provides robust evidence for yield improvement in PDES systems in Kenya, offering insights that can inform policy and investment decisions. Policies should prioritise targeted investments in high-impact areas identified by the study to maximise benefits from power distribution system upgrades. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.