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Minimization of power loss and improvement of voltage profileby optimal placement of wind generator in distribution network

机译:通过将风力发电机最佳地布置在配电网中,将功率损耗降至最低并改善电压曲线

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Nowadays, distribution losses accounts to 25 to 30 percent, so minimization of these losses gain major role to maintain pow er system performance. Distributed generation (DG) could be considered as one of the viable options toease so me of the problems (e.g. high loss, low reliability,poor power quality)faced by the power systems, apart from meeting theenergy demand of ever grow ing loads.Inclusio n of a wind generator into distribution system will minimise the pow er losses and improves the voltage profile. Determination of optimal location of wind generator in the given distribution system is very important, as studies indicate that inappropriate selection oflocation and size of wind generator, may lead to greater system losses than the losses without placing it in the given distribution system. In this work, Analytical approach and Particle Swarm Optimization technique are used to determine wind generator size and its opti mal placement.A co nventional load flow technique called backward forward sw eep load flow is used for calculation. The results for the two approaches are compared and voltage profile of the 33-bus, 69-bus and 13-bus radial distribution test systems is observed
机译:如今,配电损耗占25%到30%,因此,将这些损耗减到最小对维持电源系统性能起着重要作用。分布式发电(DG)可以被认为是缓解风险的可行选择之一,因此,除了满足不断增长的负载对能源的需求外,电力系统还面临着一些问题(例如高损耗,低可靠性,低劣的电能质量)。进入分配系统的n台风力发电机将使功率损耗最小化并改善电压曲线。确定风力发电机在给定配电系统中的最佳位置非常重要,因为研究表明,对风力发电机的位置和尺寸的选择不当,可能会导致系统损失大于未将其置于给定配电系统中的损失。在这项工作中,使用分析方法和粒子群优化技术来确定风力发电机的尺寸及其最佳位置。使用一种被称为后向前掠潮流的常规潮流技术进行计算。比较了两种方法的结果,并观察了33总线,69总线和13总线径向分布测试系统的电压曲线

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