Finite-control-set model predictive control for offshore wind power integration

被引：0
|
作者：
Xu J.-Z. [1 ]
Yuan J.-R. [1 ]
Shen Y.-W. [2 ]
Deng X.-L. [3 ]
Xiong S.-F. [2 ]
Wu H.-H. [1 ]
机构：
[1] College of Electrical and Information Engineering, Hunan University, Changsha
[2] Hunan Electric Power Corporation Research Institute, Changsha
[3] Hunan Electric Power Corporation, Changsha
来源：
Yuan, Jin-Rong | 1600年 / Editorial Department of Electric Machines and Control卷 / 21期
关键词：
Fault recovery; Finite control set model predictive control; Grid-connected inverter; Offshore wind farm;
D O I：
10.15938/j.emc.2017.05.004
中图分类号：
学科分类号：
摘要：
To overcome the problems such as PI parameters tuning, modulator requirement and multi-objective optimization in traditional vector control strategy, a FCS-MPC strategy of grid-connected inverters for offshore wind farm VSC-HVDC was proposed.Based on the discrete mathematical model of grid-connected inverters, this strategy can predict the switching states of grid-connected inverters in future moments by considering the current error based value function as optimization objective.To avoid the computing time delay and to achieve multi-objective optimization, delay compensation and weighting coefficients were introduced to generate optimal switch combinations to drive the inverters.Simulation models using FCS-MPC and traditional PI controller respectively for wind power integration were established in MATLAB/Simulink.By means of simulations under various situations such as wind power fluctuations, grid fault occurrences, etc, it validates the desirable performances of the offshore wind farm VSC-HVDC with the proposed FCS-MPC in DC voltage control and fault recovery. © 2017, Harbin University of Science and Technology Publication. All right reserved.
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页码：23 / 32
页数：9
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