Edge computing and hybrid control technology for microgrids based on activity on edge networks

Abstract

Edge‐side services provide new ideas for microgrid operational control, but as the microgrid control structure becomes increasingly large, the cost of configuring edge‐side services also grows. In this context, it is necessary to find a modelling approach that can unify the mathematical models involved in microgrid control systems. First, a microgrid control structure with edge‐computing services based on hybrid control theory is proposed, which can exploit the hybrid characteristics of the microgrid control and reduce the amounts of communication using event‐triggered technology. Then, a hybrid control modelling method based on activity‐on‐edge networks is proposed, along with a standardised control strategy configuration method. The texts entered by the configurator can be parsed in an intuitive way. Complex control strategies can be configured with low‐code input while improving the reliability of the strategies. Finally, a distributed control strategy for DC microgrids was studied and modelled using the hybrid control modelling approach based on activity‐on‐edge networks. The superiority of edge‐computing services based on hybrid control theory and event‐triggered technology in reducing communication and improving control in real time is demonstrated through the case study.