Distributed Model Predictive Load Frequency Control of Multi-area Power System with DFIGs |
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Authors: | Zhang Yi Liu Xiangjie Qu Bin |
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Affiliation: | 1.Department of Electrical Engineering, North China University of Science and Technology, Tangshan 063000, China2.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China |
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Abstract: | Reliable load frequency control (LFC) 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 (DMPC) 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 (GRCs), 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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Keywords: | Distributed model predictive control (DMPC) doubly fed induction generator (DFIG) load frequency control (LFC) |
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