针对通信时延下网络物理电力系统的鲁棒矩匹配负荷频率控制策略

Abstract False data injection (FDI)-type cyber-threats amid significant communication time delay (CTD) is a challenging issue in modern cyber–physical power systems , affecting its frequency stability and performance. The frequency control problem becomes all the more challenging amid power system nonlinearities and renewable energy penetration. To ensure safe and reliable power supply, a simple and robust load frequency control strategy is vital in practice. Hence, a new uni-parametric analytical proportional–integral–derivative (PID) design strategy is suggested for an interconnected dual-area thermal power plant (TPP) with considerable CTD. This method uses the impulse response of the TPP model to obtain the PID parameters, thereby eliminating the requirement for model-order reduction and Pade’s estimate of CTD, which causes serious performance degradation in existing analytical PID designs. The single tuning parameter λ that dictates the performance-robustness trade-off of the present PID design is determined by minimizing the integral of time-weighted absolute error (ITAE), estimated as a function of area control errors of the dual-area TPP. Performance and robustness of the proposed design is compared with its contemporaries by simulating various practical scenarios such as FDI-type cyber attacks , TPP nonlinearities and integration of renewable energy sources (solar and wind). A maximum sensitivity-based robustness study is performed to demonstrate that the proposed design yields frequency stability despite changes in TPP model parameters.