基于控制性能标准的动态事件触发多步模型预测LFC用于存在FDI攻击的智能电网

This article investigates the multistep model predictive load frequency control problem for multiarea smart grids (MASGs) with wind power and air conditioning loads under false data injection attack, where a control performance standards (CPSs)-dependent dynamic event-triggered mechanism (DETM) is considered to manage the data transmission. The CPSs-dependent DETM contains an adaptive adjustment variable related to two CPSs on the frequency deviation and area control error, which helps it to effectively reduce unnecessary transmission of data packets while promising the required frequency and tie-lie power of the MASGs. Two off-line optimization problems (OPs) are applied to design the terminal constraint set (TCS) and the approximate one step sets, respectively. The control laws designed by an online OP are utilized outside of the TCS. A CPSs-dependent DETM-based multistep MPC algorithm is proposed on the basis of the three OPs. The analyses of the feasibility of the algorithm and the stability of the closed-loop system are given. The effectiveness and superiority of the designed CPSs-dependent DETM and dynamic event-based multistep MPC algorithm are verified in two case studies of two-area and three-area smart grids.