| Abstract: |
The smart grid has emerged as a leading paradigm in contemporary electrical engineering due to the urgent transition towards sustainable and resilient energy infrastructures. A meta-analysis of previous research on smart grid development is presented in this paper, particularly on power system automation and intelligent control techniques. The widespread adoption of advanced metering infrastructure (AMI), distributed energy resources (DERs), and supervisory control and data acquisition (SCADA) systems has radically transformed the operational structure of power systems. Thus, intelligent control strategies like model predictive control (MPC) [12], fuzzy logic controllers [13], artificial neural networks (ANNs) [14], and multi-agent systems (MAS) [15] have been investigated as enablers for real-time optimization of the grid and fault resilience. This review integrates results from over 30 years of research on the benefits of automation and its frameworks for load balancing, demand response, voltage regulation, and energy storage integration. The meta-analysis shows widespread positive changes in performance across intelligent control implementations, however, there still gaps in terms of standardization, cybersecurity and interoperability capabilities. This paper, by carrying out a critical review of 30 foundational and contemporary references, exposes commonalities, methodological constraints and primary paths for waterways in the future of smart grid technologies. |
