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.

引用

页码：23 / 32

页数：9

共 19 条

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