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首页> 外文期刊>International Transactions on Electrical Energy Systems >Short-term hydrothermal coordination using water cycle algorithm withrnevaporation rate
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Short-term hydrothermal coordination using water cycle algorithm withrnevaporation rate

机译:利用蒸发速率的水循环算法进行短期水热协调

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The demand of electrical energy is increasing and so is its cost. The conventional means of generation ofrnelectrical are the hydel and thermal. Their optimized mutual operation results in the most economicrnelectrical energy for the end user. Therefore, the optimized operation of hydel and thermal plants known asrnhydrothermal coordination (HTC) is one of the important and challenging tasks in the field of power systemrnoperation. This paper investigates a modified version of a new nature inspired algorithm, water cyclernalgorithm called as evaporation rate–based water cycle algorithm (ERWCA) for the solution of HTC. Thisrnalgorithm has its roots from the natural water cycle. The raindrops form streams, which flow to the riversrnand eventually into the sea. The streams either merge into rivers and sea or they are too slow to reach thernrivers or sea; the evaporation process occurs, which again causes the rainfall. Hence, new streams will berncreated. In this paper, ERWCA has been successfully applied to the problem of HTC. The complexrnconstraints of the hydel and thermal network especially the prohibited discharge zones of hydel plants andrnthe ramp rates of thermal plants, which are rarely taken into account, have been incorporated. The comparison of the results with other nature inspired techniques already available in the literature likernparticle swarm optimization and differential evolution shows the strength and potential of this newrntechnique ERWCA in obtaining the better quality result.
机译:电能的需求在增加,其成本也在增加。产生电能的常规手段是水动力和热力。他们优化的互操作为最终用户带来了最经济的电能。因此,已知的水力和热电厂的优化运行称为水热协调(HTC),是电力系统运行领域中重要且具有挑战性的任务之一。本文研究了一种新的自然启发算法的改进版本,称为HTC解决方案的水循环算法,称为基于蒸发速率的水循环算法(ERWCA)。该算法的起源是自然水循环。雨滴形成溪流,溪流流向河流,最终流入大海。溪流要么汇入河流和海洋,要么太慢而无法到达河流或海洋。发生蒸发过程,这再次导致降雨。因此,将创建新的流。在本文中,ERWCA已成功应用于HTC问题。水电和热网的复杂约束,尤其是水电设备禁止的排放区域和热电设备的升温速率,已经很少考虑。将结果与文献中已有的其他自然启发性技术(例如粒子群优化和差分进化)进行比较,表明这种新技术ERWCA在获得更好质量结果方面的实力和潜力。

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