Annual energy production maximization for tidal power plants with evolutionary algorithms

被引：0
作者：
Kontoleontos E. [1 ]
Weissenberger S. [1 ]
机构：
[1] ANDRITZ HYDRO GmbH, Lunzerstrasse 78, Linz
来源：
International Journal of Fluid Machinery and Systems | 2017年 / 10卷 / 03期
关键词：
Annual energy production; Evolutionary algorithms; Optimization; Swansea bay; Tidal power plants;
D O I：
10.5293/IJFMS.2017.10.3.264
中图分类号：
学科分类号：
摘要：
In order to be able to predict the maximum Annual Energy Production (AEP) for tidal power plants, an AEP optimization tool based on Evolutionary Algorithms was developed by ANDRITZ HYDRO. This tool can simulate all operating modes of the units (bi-directional turbine, pump and sluicing mode) and provide the optimal plant operation that maximizes the AEP to the control system. For the Swansea Bay Tidal Power Plant, the AEP optimization evaluated all different hydraulic and operating concepts and defined the optimal concept that led to a significant AEP increase. A comparison between the optimal plant operation provided by the AEP optimization and the full load operating strategy is presented in the paper, highlighting the advantage of the method in providing the maximum AEP. © 2017, Turbomachinery Society of Japan. All rights reserved.
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收藏
页码：264 / 273
页数：9
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