Stability analysis of single-machine infinite bus system with renewable energy sources using sine cosine chimp optimization

The process of incorporating renewable energy sources, such photovoltaics and wind power, into the current power system has a significant effect on the power grid's stability properties. As these variable energy sources fluctuate with changes in weather conditions, ensuring the stability and reliability of the grid becomes a complex challenge. Consequently, there is a growing need for the development and application of appropriate analytical methods to address these evolving dynamics. This research work explores this issue by focusing on the investigation of a grid-connected microgrid. This microgrid incorporates solar photovoltaic and wind energy sources in addition to a synchronous generator. To improve the stability and performance of the system, a governor and power system stabilizer are used. The study applies a novel control system known as µ1-µ2/tilted integral fractional derivative with filter (µ1-µ2/TIFDN) for low-frequency oscillations within the single-machine infinite bus system. To optimize controller parameters necessary for effective operation, the research employs the sine cosine adapted chimp optimization algorithm. The resilience and robustness of the power system are evaluated and compared with conventional controllers, such as proportional integral, lead-lag, and fractional lead-lag power system stabilizer approaches, through thorough simulation and evaluation using MATLAB. Furthermore, the proposed controller approach exhibits superior performance characteristics, specifically with a reduced settling time of 12 s.