Real time simulation of an Intelligently Optimized Controller to Control the Frequency of an Islanded AC Microgrid: MBA-MBIMC Tuning Approach

Abstract

This paper exhibits an attempt for controlling the frequency of an independent microgrid (MG) system by using modified bias (MB) and Internal Model Control (IMC) based PID Controller with mine blast algorithm (MBA) under extreme unfavorable scenarios. Frequency deviation occurred in the system because of mismatch between Actual Generated power and total load demand. To address this issue the IMC-based the frequency regulation and gain parameters of the Microgrid are taken into consideration for finding the limits of control parameters for MBA, which will make sure that the search points produced by MBA are robust and stable. In real-time simulation environments using the digital simulator OPAL-RT, simulation of the proposed (MBA based MB-IMC) controller-based MG model has been appropriately tested. In various real-life situations, the system performance is obtained using the MBA-MBIMC controller and system outputs are closely investigated. The performance of MBA-MBIMC Controller is compared with that of PSO-MBIMC, MBIMC and MB-LDR controllers. The result shows that, in forms of peak deviation, time of settling and a smaller no. of oscillations, the proposed MBA-MBIMC controller provides the most optimum adaptive output.