In this paper, PID optimization (CPID) and Genetic Algorithm (GA) are used to tune the Proportional Integral Derivative (PID) controller to design a coordination stabilizer based on PID-UPFC. These two are often used to adjust the parameters of the PID controller. The proposed method is easy to implement and offers better stability. The proposed work is performed under MATLAB software. Basically, in this article, compare this CP-ID and GA-PID on the basis of waveform, settlement time and maximum overshoot. When the comparison is made, it is found that the performance of GA- PID is better than the performance of CPID. The GA-PID controller provides better stability, improved steady-state error, and the time required for the signal to rise, i.e. rise time, is also minimized. Simulation results show fast response from GA-PID controller.

The demand for power will have doubled by the year 2050. Solar energy currently meets a small percentage of the world's demand, despite its enormous potential as an eco-friendly method for producing electricity. Utilizing land resources sustainably is one of the challenges. As an alternative, floating PV (FPV) plants on bodies of water, such as a dam, reservoir, canal, etc., are gaining popularity worldwide. This project aims to design a hybrid floating solar system that can produce renewable energy in light of the above. Among the hybrid technologies addressed are FPV & hydro systems, FPV & pumped hydro, FPV & wave energy converter, FPV & solar tree, FPV & tracking, FPV & conventional power, and FPV & hydrogen. The review also summarises the main benefits and drawbacks of hybrid floating solar PV (FPV) systems. The hybrid FPV technologies with hydro and solar energy input were some of the most promising ones for producing power efficiently. The important ideas in this paper advance understanding and could serve as a catalyst for the creation of environmentally friendly, sustainable hybrid floating installations