Dynamic Event-Triggered-Based Privacy-Preserving Secondary Control for AC Microgrids with Optimal Power Allocation via State Decomposition

Due to information exchange on the communication links, the conventional consensus controller could result in the leakage of privacy information. Therefore, this paper proposes a dynamic event-triggered privacy-preserving consensus algorithm (DETPPCA) to regulate frequency/voltage and achieve optimal power allocation (OPA), while preserving the privacy information of distributed generators (DGs) in islanded AC microgrids (MGs). Firstly, a newly dynamic event-triggered mechanism (DETM) is developed to enlarge the triggering interval by an internal adaptive dynamic variable, thereby greatly reducing the amount of data transmitted and the risk of privacy leakage. Moreover, the proposed DETM can avoid the Zeno behavior. Subsequently, based on different decomposition functions, an improved state decomposition method that allows only one of the sub-states to communicate with neighboring DGs is proposed to provide privacy protection for initial states. Ultimately, the DETPPCA is applied to design secondary controllers to replace the traditional active power sharing controller, which can fulfill the objectives of frequency/voltage restoration and optimal economic operation simultaneously, but not an additional tertiary controller. The effectiveness of the designed DETPPCA-based secondary controllers is validated through extensive case studies on the Matlab/Simulink platform.