Stability analysis of reduced order distributed generation system (DGS) using logarithmic pole approximation

摘要

This paper based on a practice adopted for improvement in the characteristic of frequency deviation of distributed generation-system (DGS) succeeding load and wind trepidation. DGS has very large order transfer function associated with mathematical calculation of frequency-power deviation. So, Reduced order modeling (ROM) of original DGS by means of Logarithmic pole approximation, Markov parameters, and time moments (LPC) help to effective analysis DGS. Three novel optimization algorithms, such as Battle Royal optimization (BRO), Chaotic atomic search optimization (CASO), and grasshopper optimization algorithm (GOA) taken for the first time to obtain optimum parameters associated with PID controller to reach decent dynamic-stability of the considered DGS. The obtained findings show that the suggested control technique algorithms with ROM are able to produce respectable outcomes and significantly increase the stability margin of DGS.