Distributed model predictive load frequency control of multi-area power system with DFIGs
Author(s) -
Yi Zhang,
Xiangjie Liu,
Bin Qu
Publication year - 2017
Publication title -
ieee/caa journal of automatica sinica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.277
H-Index - 41
eISSN - 2329-9274
pISSN - 2329-9266
DOI - 10.1109/jas.2017.7510346
Subject(s) - computing and processing , communication, networking and broadcast technologies , general topics for engineers , robotics and control systems
Reliable load frequency control U+0028 LFC U+0029 is crucial to the operation and design of modern electric power systems. Considering the LFC problem of a four-area interconnected power system with wind turbines, this paper presents a distributed model predictive control U+0028 DMPC U+0029 based on coordination scheme. The proposed algorithm solves a series of local optimization problems to minimize a performance objective for each control area. The generation rate constraints U+0028 GRCs U+0029, load disturbance changes, and the wind speed constraints are considered. Furthermore, the DMPC algorithm may reduce the impact of the randomness and intermittence of wind turbine effectively. A performance comparison between the proposed controller with and without the participation of the wind turbines is carried out. Analysis and simulation results show possible improvements on closed–loop performance, and computational burden with the physical constraints.
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