Optimal design of Fuzzy control based IPFC and SMES in AGC of multi source Power System

Abstract

The flexible AC transmission system (FACTS) devices play major role for controlling various parameters of the interconnected power system. Owing to large dynamic controlling nature of the FACTS, this research paper addresses a research work which employs interline power flow controller (IPFC) along with an advanced superconducting magnetic energy source to govern the generation schedule.. The power generations are monitored as per the load demand and the concept is referred as automatic generation control (AGC), Further, the work proposes a fuzzy based PID controller to make required control loop for AGC of the multi source power system. The work also has applied a novel Advanced-Whale optimization algorithm (A-WOA) to furnishing the parameters of the fuzzy PID controller. The work also has been progressed with various comparative studies in both controller and technique level to justify superiority of the proposed Fuzzy PID controller and novel A-WOA technique. Finally, it has been observed that proposed A-WOA designed Fuzzy PID controller is found to be most improved method to obtain AGC in the multi source power system under different operatings.