基于动态优化算法(DOA)的受人类王朝启发的风力机微定位数值数据

Pub Date : 2020-06-15 DOI:10.17993/3ctecno/2020.v9n2e34.71-85

Shafiq-ur-Rehman Massan, Asim Imdad Wagan, Muhammad Mujtaba Shaikh

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引用次数: 1

摘要

本文提出了一种新的动态优化算法DOA，并将其应用于风力涡轮机的微定位问题。通过使用标准MATLAB软件在12 m/s的风速下获取数据。讨论了算法的效率值、每台机组涡轮机的每次安装成本以及每台安装的涡轮机的总耗散功率。该算法被应用于两个测试函数，并在其中描述了结果。已经很好地证明，对于测试函数，所提出的DOA表现出优于GA和DEA的性能，因为它经常达到最小值，并且具有更高的精度。另一方面，在WTM问题上的DOA性能也令人鼓舞。

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Numerical data for wind turbine micrositing inspired by human dynasties by use of the Dynastic Optimization Algorithm (DOA)

This work presents the newly formulated Dynastic Optimization Algorithm, DOA as applied to the wind turbine micrositing problem. The data is acquired by the use of the standard MATLAB software at a wind speed of 12 m/s. The values of the efficiency of the algorithm, cost per installation of per unit turbine, and total dissipated power at each number of turbines installed are discussed. This algorithm is applied to two test functions and the results are described therein. It has been welldemonstrated that the proposed DOA exhibits superior performance over GA and DEA for test functions by hitting the minima very often and with higher precision. On the other hand DOA performance on WTM problem is also encouraging.

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