期刊
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
卷 15, 期 3, 页码 1004-1013出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TASE.2017.2682559
关键词
Doubly fed induction generator (DFIG); finite control set (FCS); linear programming; model predictive control (MPC); wind energy
资金
- National Natural Science Foundation of China [61403303]
- China Post-Doctoral Science Foundation [2014M560776]
- Natural Science Basis Research Plan in Shaanxi Province of China [2016JQ5080]
- Special Financial Grant from the China Postdoctoral Science Foundation [2016T90918]
- State Key Laboratory of Electrical Insulation and Power Equipment [EIPE15306]
This paper presents a time efficient finite-control-set model predictive control (FCS-MPC) scheme for the doubly fed induction generator system. In this scheme, the switching states of the rotor side converter are directly taken as control inputs. This way, the optimized control action can be directly applied to the converter. Compared with the existing FCS-MPC approaches, the salient feature of the proposed scheme is the reduction of the computation time. By introducing a set of augmented decision variables, the original intractable binary quadratic programming problem in FCS-MPC can be analytically transformed to a binary linear programming problem, which can be solved efficiently. By this means, the computation time of the proposed scheme is much less than that of the existing schemes. This reduction in computation time enables FCS-MPC with longer prediction horizons, thus yielding better control performance.
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