Improving low voltage ride through capability in grid connected PV system using SOS-WOA based PI controller

Renewable energy sources in microgrids, besides causing problems, bring solutions to enhance operational behavior of the system. Some of these solutions are fault ride through operating abilities of these sources. This paper introduces an innovative approach for improving the LVRT capability using a hybrid symbiotic organism search (SOS) and whale optimization algorithm (WOA) to effectively optimize the control parameters of proportional + integral (PI) controllers. The effectiveness of SOS-WOA-tuned PI control is tested with that of LVRT control employing conventional PI, grey wolf optimization (GWO)-based PI and WOA-based PI controls under grid faults. It was observed that SOS-WOA gave better performance resulting in lower error values than the other methods. In addition, the LVRT capability has been improved as well by overcoming the unwanted transient response effects.