Optimal Automatic Generation Control in Multi-Area Power Systems with Diverse Energy Sources

This research work for optimal automatic generation control (AGC) of two area and four area power systems with diverse energy sources tuned with area control error (ACE) and brief summary of gray wolf optimization technique (GWO) in comparisons with particle swarm optimization (PSO), and firefly optimization are shown. This system establish connection for power systems as extended as thermal, diesel, nuclear, and many more sources interconnected with hybrid resources like solar power, wind energy, hydro power, electric vehicles, micro-grid, and smart grid. The interconnection of different sources with two areas, multi area and tie-line control with several controlling algorithms and soft computing techniques discussed. Paper has a decent work for related work and provides the simulation result to fulfill its objective also prepare it for future exploration with AGC in HVDC-AC link.