Rolling horizon Based Time-Triggered Distributed Control for AC/DC Home Area Power Network

Daud Mustafa Minhas, Georg Frey
2021 IEEE transactions on industry applications  
An energy-efficient smart home generally integrates renewable energy sources (RESs) with intelligent energy devices (IEDs) to make itself cost-efficient. However, the stochastic nature of the RESs and IEDs makes the power network uncertain, and it degrades the economic efficiency of the smart home. Hence a co-simulation based intelligent home energy management system (HEMS) is proposed in this paper. It interconnects the rolling horizon-based model predictive energy scheduling mechanism with
more » ... ust control strategies. It manages the load following energy supply entities (ESEs) optimally and efficiently. A timeahead scheduler integrates an optimal algorithm to estimate the cost-optimal (e.g., minimizing total energy cost) decision signals for various ESEs by incorporating component based losses and efficiencies. Besides, a real-time distributed robust control strategy is established executing a coordinated energy sharing mechanism by incorporating an auxiliary power source. Time-triggered low-jitter wireless communication architecture is adopted to transfer the optimal decision signals from the central scheduler to the distributed device level local controller. A scenario based comparison of various AC/DC models of a home area power network (HAPN) evaluates the strength of the prospective HEMS.
doi:10.1109/tia.2021.3074901 fatcat:ho5re42zdfec5ahzuopjqugtie