基于隐马尔可夫跳变系统的异步滑模观测器逆变器供电系统鲁棒控制

Power systems are required to show certain resilience against natural disaster induced contingencies. The advent of major contingencies in the power system will significantly change the network topology, thereby leading to unpredictable system dynamics that cannot be easily depicted by existing models and coped with traditional control schemes. Therefore, in this article, we proposed a novel robust control scheme based on hidden Markov jump system (HMJS) to stabilize the power system for temporary service provision under major contingencies, where the HMJS model is utilized to depict the stochastic switching of the system topology and its dynamics. In this process, the non-synchronization between the system’s state and the controller’s states are coped with an asynchronous sliding mode observer (ASMO). Subsequently, an observer based sliding mode controller (OSMC) is proposed for the short term service provision and stabilization of the power system. Experiments are performed to validate the performance and superiorities of the HMJS-OSMC in addressing three typical grid contingencies. The importance of the proposed method lies in that it solves the problems of post-contingency dynamic behavior depiction and temporary service provision for renewables-penetrated power systems that cannot be dealt with conventional approaches.