Smart SCADA System for Networked Microgrid

Abstract

Microgrids linked with renewable energy systems represent an essential solution to build sustainable power distribution systems with high resilience. The proposed research contributes new findings to existing SCADA system studies by creating a dynamic power-sharing optimization algorithm that solves energy overproduction issues and enhances inter-microgrid coordination. The authors developed a new framework which uses solar PV systems coupled to batteries and diesel generators to maintain stable power output while solar conditions fluctuate. The designed SCADA system functions through MATLAB/Simulink to operate and optimize power distribution throughout four linked houses microgrids. The suggested optimization algorithm distributes surplus power generated by overproducing microgrids to deficit nodes while keeping real-time demand-supply equilibrium as the top priority. The simulation output shows increased power reliability because total power delivery to households rises by 25.1–42.4% during low-irradiance times (sunrise/sunset). The system achieves lowering dependency on generators by 30-45% through its operations of battery optimization and microgrid power exchange techniques. The research demonstrates how SCADA coordination enables better renewable energy network scalability and energy distribution equality and waste minimization within regions like Baghdad that experience varying solar resources.