Tomin N., Kurbatsky V., Guliyev H. Intelligent control of a wind turbine based on reinforcement learning // 2019 16th Conference on Electrical Machines, Drives and Power Systems, ELMA 2019 - Proceedings. ID: 8771645. 2019. ISBN (print): 9781728114132. DOI: 10.1109/ELMA.2019.8771645 Advanced controllers of modern wind turbines can help increase energy capture efficiency and reduce structural loading. However, to fulfill the modern wind turbine control demands with contradicting requirements (efficiency...
Теги: control , mimo control , pitch control , reinforcement learning , torque control , wind turbine , adaptive control systems , control engineering , electric machinery , machine learning , mimo systems , stochastic systems , wind , wind turbines , adaptive control desSuslov K., Solodusha S., Gerasimov D. Determination of parameters of adaptive law for the control of an off-grid power system // SMARTGREENS 2016 - Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems. 2016. P.129-135. ISBN (print): 9 789 897 . The paper presents the results of a study of an off-grid electric power system that contains typical generation and load devices. The aim of the study is to develop an algorithm for selecting the optimal parameters of adaptive...
Теги: adaptive control systems , control systems , control theory , distributed power generation , electric power systems , electric power transmission networks , power quality , quality control , smart power grids
