Frequency Regulation of a Cluster Model Military Multimicrogrid With HOA Optimiser-Tuned TIDA+1 Controller

Abstract

This work is an early attempt to investigate frequency control of a nested multimicrogrid cluster specifically designed for military bases. The proposed hybrid model deploys multiple energy systems, including sustainable biorenewable energy sources such as solar, wind and degradable waste in military camps backed up by battery and superconducting magnetic energy sources. Here, a novel control strategy-based optimiser with an evolved TIDA controller with an error eliminator tuned by the hippopotamus optimisation algorithm is proposed for load frequency control of such an isolated microgrid subjected to intermittency of climate-oriented sources and real-time scenarios. Further, the 3R dimensions—resiliency, reliability and rationality test—underscore the performance of the tailored control strategy by comparing it with PID-based control strategy and also by comparing the performance with the artificial hummingbird algorithm, chaotic artificial hummingbird algorithm and particle swarm optimisation algorithm. Considering the practical scenarios of a military multimicrogrid under this test indicates the superiority of the novel algorithm-tuned TIDA+1 controller over other adapted control strategies.