以抽水蓄能电站为智能基础设施的风电场优化运行及人工神经网络负荷估计

H. Shayeghi, A. Ahmadpour, Mir Mohsen Hosseini Khashe Heiran
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引用次数: 22

摘要

风力发电厂在电力系统中是清洁和高效的。风电场的最佳选址和最佳输出功率的确定是风电场运行的关键环节。本文考虑的是一个智能电网。然后,解释风力发电厂在电力市场中的最优运行。从风电场和抽水蓄能电站、配电公用事业和全球运行的角度阐述了这一问题。为解决这一问题,采用抽水蓄能电站辅助风电场发电。同时,利用人工神经网络(ann)算法对负载进行估计。为了证明该方法的优越性,文中还使用了西班牙风电场的实际数据。在MATLAB软件中进行了仿真,并给出了仿真结果。
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Optimal operation of wind farm in presence of pumped-storage station as smart infrastructure and load estimation using artificial neural networks
Wind power plants in power systems are cleaned and efficient. Determination of optimal location and power output, is the essential phase in the operation of a wind power plant. In this paper, a smart grid is considered. Then, the optimal operation of a wind power plant in the electricity market will be explained. This issue is described by viewpoint of wind and pumped-storage power plants, distribution utility, and global operation. For solution of this problem, a pumped-storage power plant is used to help generation of the wind power plant. Also, by using Artificial Neural Networks (ANNs) algorithm, loads are estimated. To demonstrate the advantages of the proposed method, the Spanish wind farm's practical data has been used. Simulations have been done in MATLAB software, and the results are presented.
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