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Cost effective Distributed Generation Placement and sizing using Water Flow-like Algorithm

机译:使用类似于水流算法的经济高效的分布式发电布局和大小调整

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Distributed Generation (DG) is been a very interesting concept in recent years for its inheritance benefits when integrated to grid. It can reduce real losses, voltage deviation and congestion merely when proper location and sizes of DG were provided. But such connection of DG should also have maximum cost saving over the time. For optimal locations, real loss index, voltage index were calculated and given as inputs to Fuzzy inference system which will take decision based on the rule base framed, to give DG Placement index (DGPI) as output. Maximum values of DGPI pose optimal location to DG placement. In this paper an objective function representing Cost of Maximum Saving is formulated which is maximized by optimizing the size of DG using a novice algorithm i.e. Water Flow-like Algorithm (WFA). This algorithm is based on the flowing behaviour of water from higher altitude to lower level and is governed by parameter like gravitational force, momentum of water etc. The proposed method is tested on IEEE 33 bus system and IEEE 69 bus systems, and the result obtained were presented.
机译:分布式发电(DG)近年来是一个非常有趣的概念,因为它集成到网格后具有继承优势。仅在提供正确位置和大小的DG的情况下,它才能减少实际损耗,电压偏差和拥塞。但是,随着时间的流逝,DG的这种连接也应该可以最大程度地节省成本。对于最佳位置,计算了实际损耗指数,电压指数,并将其作为模糊推理系统的输入,该系统将基于框架规则进行决策,从而将DG放置指数(DGPI)作为输出。 DGPI的最大值为DG放置提供了最佳位置。在本文中,制定了表示最大节省成本的目标函数,该函数通过使用新手算法(即类水流算法(WFA))优化DG的大小来最大化。该算法基于水从高海拔向低水位的流动行为,并受重力,水动量等参数的控制。该方法在IEEE 33总线系统和IEEE 69总线系统上进行了测试,并获得了结果被提出。

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