Multi-source System Powered by Renewable Energy in a Deregulated Environment

In the upcoming decades, renewable energy is anticipated to have a significant impact on the power sector. But combining renewable energy with traditional energy sources can be difficult, especially when it comes to creating a control system that works. For power system frequency variations to remain within allowable bounds, automatic generation control, or AGC, is essential. This paper uses a single-area thermal system as a case study to construct a non-fragile proportional-integral-derivative (NFZ-PID) controller. During the optimization phase, the Routh Kharitonov theorem is used to guarantee system performance and stability. This experiment makes use of a popular optimization method, the chaotic opposition krill herd algorithm. Developing a new control approach for NFZ-PID controllers is the main goal of this study.