مشخصات پژوهش

عنوان	Decentralized model predictive load frequency control of deregulated power systems in tough situations
نوع پژوهش	مقاله ارائه شده کنفرانسی
کلیدواژه‌ها	feed-forward control, load frequency control, model predictive control, multi area power system
چکیده	In this paper a decentralized Model Predictive Controller (MPC) is proposed to load-frequency control in deregulated power systems under harsh conditions such as loss of power generation or loss of controllers in some control areas. To nullify these effects on frequency deviations, the MPC controller uses feed-forward control strategy in each area. The performance of the proposed controller is validated in different scenarios on a multi-area power system. Comparing simulation results with recent proposed robust LMI based PI control strategy, it can be seen that the decentralized MPC scheme effectively regulates frequency without using any emergency control strategy even in severe conditions.
پژوهشگران	آروین مرتب (نفر اول)، قباد شفیعی (نفر دوم)، حسن بیورانی (نفر سوم)