نویسندگان
دانشگاه محقق اردبیلی - دانشکده فنی و مهندسی - گروه مهندسی برق
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
The aim of this paper is using reinforcement learning for designing of robust and adaptive PID and SMES controllers to load frequency control in a two area thermal power system. Thus, in first setting of PID and SMES controller parameters formulated as an optimization problem and solved using teaching-learning optimization algorithm. Then the simultaneous performance of designed controllers improved using proposed reinforcement learning based controller. Simple and understandable structure and easy to use are distinguished advantages of q-learning based controllers. In order to evaluate the performance of the proposed controller, computer simulations have been done by using MATLAB software. Simulation results verified that the proposed q-learning based controller exhibits much better performance from the conventional optimization based controllers from viewpoint of time domain performance indices like over shoot, under shoot, ITAE, ITSE, and IAE.
کلیدواژهها [English]
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