Abstract
The analysis of the Multi-area Hybrid Power System's Automated Generation Control (AGC). The hybrid power supply is the combination of thermal generation unit and DG energy. The DG system includes wind turbine generator, Solar photovoltaic system, Diesel engine generator, Aqua electrolyze fuel cell, and battery-electric energy storage. The machine is handled as the secondary controller by a new Fuzzy PID plus FPID-II controller. Novel software technology, such as the salp-swarm algorithm (SSA), based on the multi-objective method, compare these controller gains with three different controller types, such as the pictures, the pictures, the two-degree PID (TDOFPID) controller. In addition, in order to extract the effectiveness of the SSA technology, answers for the different load conditions are compared to other common techniques of swarm intelligence like the Grasshopper Optimization Algorithm (GOA), Ant Lion Optimization (ALO), the Dragonfly Algorithms (DA), or the Particle Swarm Optimization (PSO).
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