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Optimization of Reservoir Operation Using Cuckoo Search Algorithm: Example of Adiguzel Dam, Denizli, Turkey

机译:使用杜鹃搜索算法的储层运行优化:Adiguzel Dam,Denizli,土耳其的示例

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摘要

The Adiguzel Dam is located in Denizli in the western part of Turkey. It was built for irrigation purposes, but it also produces energy at the same time. The dam’s energy-production regime is not regular since there are no reservoir-operating rules. Thus, this study develops a reservoir optimization rule to generate a corresponding gain in energy production. It is well known that operating a reservoir is a complex problem that depends on many parameters such as inflow, storage capacity, water elevation, tailwater elevation, and evaporation. Therefore, in order to optimize energy production, there is a need to use heuristic algorithms such as the Cuckoo Search (CS). This study develops a CS algorithm-based solution to optimize the reservoir’s operational system and generate an optimal operation rule curve. Results show that the CS algorithm improves the system operation, and the energy production will be increased by about 10% to a value of 160000 MWh with a corresponding economic gain of about $12 × 106 in total for 183 months.
机译:Adiguzel Dam位于土耳其西部的Denizli。它是为灌溉目的而建造的,但它也同时产生能量。大坝的能源生产制度并不定期,因为没有水库操作规则。因此,本研究开发了储层优化规则,以产生能量产生的相应增益。众所周知,操作水库是一个复杂的问题,取决于许多参数,如流入,存储容量,水海拔,尾水抬高和蒸发。因此,为了优化能量生产,需要使用诸如杜鹃搜索(CS)之类的启发式算法。本研究开发了基于CS算法的解决方案,以优化库的运行系统并生成最佳操作规则曲线。结果表明,CS算法改善了系统操作,能源产量将增加约10%至160000兆瓦的值,相应的经济增益总计约为12×106,总计为183个月。

著录项

  • 作者

    Mutlu Yasar;

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  • 年度 2016
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
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