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首页> 外文期刊>MATEC Web of Conferences >Optimal Long-Term Hydro Generation Scheduling of Small Hydropower Plant (SHP) using Metaheuristic Algorithm in Himreen Lake Dam
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Optimal Long-Term Hydro Generation Scheduling of Small Hydropower Plant (SHP) using Metaheuristic Algorithm in Himreen Lake Dam

机译:利用HIMREEN LAKE DAM中使用血管算法的小水电站(SHP)的最佳长期水电发电调度

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This study focuses on the improvement of optimization model by applyingparticle swarm optimization and firefly algorithm methods to get a stable power productionutility at its maximum level. Furthermore, it investigates on the minimization of utility loss in power production from the hydropower system, which is done by optimizing the variables of operation control in the hydropower plant at Lake Himreen - Diyala Dam. The variables mentioned are net turbine head, the rate of water flow and power production which had been gathered in the data during a research throughout a 10-year period. The results obtained from these two methods, namely Firefly Algorithm (FA) and Particle Swarm Optimization, (PSO) are compared. The inferences for general comparisons are created through several behavior indicators. The behavior indicators illustrate that FA's performance is better than PSO's performance, in some fields. At the end, the results show the strength of FA, as well as itsefficiency and superiority.
机译:本研究专注于通过应用群群优化和萤火虫算法方法改善优化模型,以在其最大水平上获得稳定的功率促进措施。此外,它研究了水电系统电力生产中电力生产的最小化,这是通过优化Himreen - Diyala大坝水电站运行控制的变量来完成的。提到的变量是净涡轮机头部,水流和电力生产速率在整个10年期间在研究期间收集在数据中。比较了从这两种方法获得的结果,即萤火虫算法(FA)和粒子群优化,(PSO)。通过若干行为指标创建一般比较的推论。行为指标说明了FA的性能比PSO的性能更好,在某些领域。最后,结果表明了FA的强度,以及itse特性和优越性。

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