Craziness-based PSO with wavelet mutation for transient performance augmentation of thermal system connected to grid

Research highlights? Optimal transient performance analysis of a grid connected conventional thermal unit. ? Integration of hybrid renewable energy power generation schemes with traditional thermal power plant feeding a grid for the purpose of its transient performance analysis. ? Optimal AGC control of such an integrated module to get better transient performance as compared to that of grid connected thermal unit of Sl. No. (a). ? Inclusion of CES unit, first of its kind in the literature, in such an integrated module for the purpose of further transient performance improvement. ? Optimization of different tunable parameters of such an integrated generating system with the help of wavelet mutated PSO, developed by the authors, and establishment of the potential benefits of this new variant of PSO technique. In this paper, a conventional thermal power plant with single stage reheat turbine is taken into consideration. It is equipped with AVR, IEEE type dual input PSS3B and integral controlled AGC loop. A hybrid distributed generation (DG) system consisting of wind turbine generators, aqua electrolyzer, fuel cells, diesel engine generator, flywheel energy storage system and battery energy storage system is configured. This hybrid DG system is integrated with the grid connected thermal unit. The different tunable parameters of this integrated power system are optimized by a novel craziness-based PSO with wavelet mutation (CRPSOWM), developed by the authors. While integrating the DG with the thermal power system, improved transient performance is noticed. Further improvement in the transient performance is observed with the usage of capacitive energy storage unit in the AGC loop of conventional power generation scheme. The proposed CRPSOWM incorporates a wavelet-theory-based mutation operation and offers robust and promising results.