Multi-Channel Networked MIMO-MPC-based SiL/HiL/MiL for CC/CV Sections’ Optimization in 6th Gen Hybrid/Islanded Inverters for Mobile Green Nano-Grids in FEW Nexus

Abstract

The Food, Energy, and Water (FEW) Nexus is an ever-existing paradigm since the big bang. Resilient and mobile green energy nano-grid fabric is the horizon at the pinnacle of 6th generation inverters where FEW and major UNDP SDGs seem to meet. Three major challenges exist in the existing inverters: a) are based on uni-variable PID controllers and do not provide abstract grid parameters that make the decision-making for the consumers and OEMs, especially in islanded nano-grids; b) there is not a single MIMO-MPC-based solution that can employ a mesh network of spatially deployed Nanogrids nodes to derive the abstract key performance indicators (KPIs) in nano-grids, and c) the hardcoded smart inverters’ firmware is impossible to optimize like SoC-based SiL/MiL/MiL looped embedded systems that hamper the adaptation of SISO-MPC and MIMO-MPCs. In this work design, development, and optimization of multi-channel CC/CV section modules based on MIMO-MPC using Hardware in Loop (HiL), Software in Loop (SiL), and Model in Loop (MiL) integrated 6th generation inverters architecture was proposed to achieve the autonomous green mobility nano-girds. The system achieved an efficiency of 7.8kWh/day at 20.8ᵒ tilt with charging states of [23% to 65%].