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Voltage Hierarchical Optimal Control of a Wind Farm Cluster in Account of Voltage Fluctuation in Control Time Window |
Cai Youming1, Li Zheng2, Cai Xu1 |
1. Wind Power Center, School of Electronic Information and Electrical Engineering Shanghai Jiaotong University Shanghai 200240 China; 2. College of Information Science and Technology Donghua University Shanghai 201620 China |
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Abstract Since the interval of voltage control of wind farm clusters (WFC) is much longer than that of wind farms, the voltage control instruction for wind farms fails to consider the voltage fluctuation caused by wind power in cluster control interval. Therefore, this paper proposes a kind of model predictive control (MPC) for the voltage optical control of a large scale WFC considering voltage fluctuation in a control time window. The MPC is used in the layer of WFC control to predict the wind power fluctuation of wind farms and calculate the optical reactive power control vectors, which optimizes the nodes voltage deviation and overall power losses from the current time to several future time in a control interval. Then the wind farm control instruction is extracted from the vectors. Wind farms in the cluster will track it autonomously. Thus, the overall optimal control will be realized through real time receding horizon optimization. Finally, the proposed control and regular control are compared by simulations with the WFC model including 9 wind farms on the RT-Lab platform. It is shown that the proposed control has better global optimal results for WFC voltage control that can reduce the risk of voltage instability.
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Received: 26 February 2018
Published: 29 March 2019
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