The transformation of traditional electric power systems is essential to meet increasing demands for reliability, efficiency, and sustainability. Conventional grids, built on electromechanical foundations, suffer from limited real-time monitoring, insufficient automation, and inefficiencies in balancing power generation and consumption. This study evaluates the potential of smart grid technologies to address these challenges by modernizing power infrastructure through reactive power compensation, network symmetry, smart substations, and advanced control systems. Using a qualitative-analytical approach, a comparative review of traditional and smart grid systems is conducted, supported by technical assessments of components such as SCADA/DMS platforms, FACTS devices, phase-shifting transformers, and Volt/VAR control systems. Results show that smart grid technologies significantly improve operational efficiency, phase balance, and system stability, while enabling real-time decision-making and integration of distributed energy resources. Smart substations provide enhanced fault detection, automated control, and voltage regulation compared to conventional systems. The study concludes that integrating intelligent digital systems into the grid architecture effectively addresses legacy grid shortcomings. These findings emphasize the urgency of accelerating smart grid deployment worldwide. Policy recommendations include prioritizing investments in smart grid infrastructure, developing supportive regulatory frameworks, and facilitating the transition to sustainable energy models. Future research should focus on quantitative impact evaluations, cybersecurity issues, and cost-benefit analyses of smart grid adoption in diverse regional settings.
Usmonov et al. (Mon,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: