首页> 外文期刊>International journal of computer science and network security >Showing improve voltage profile and reduce losses using DG compared to flow without the use of DG in distribution network and locate the appropriate DG network in order to improve the voltage profile and reduce losses utilizes the algorithm GA
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Showing improve voltage profile and reduce losses using DG compared to flow without the use of DG in distribution network and locate the appropriate DG network in order to improve the voltage profile and reduce losses utilizes the algorithm GA

机译:与不使用配电网中的DG的流量相比,使用DG显示改进的电压曲线并减少了损耗,并通过算法GA来定位合适的DG网络以改善电压曲线并减少损耗

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DG plant has a production capacity of a few kW to 10 MW for electricity generation in areas closer to costumers, they can be used for a variety of solar cells, fuel cells, micro turbines and wind farms and etc. If these power plants are connected to the network, the network has different effects including loss reduction, improved voltage profile and increase the reliability [1],[2].A total of distributed generation power plants, installed capacity and they are so determined that the maximum loss reduction and taking into account the constraints of problem arise In this paper the genetic algorithm, was used in the optimization problem After extracting the flowchart of this method in the optimal placement of distributed generation power plants, computer programs were developed and implemented this program on the network and has been implemented IEEE bus 33 ,How many times results obtained from implementing the program, its advantages and disadvantages compared with each other and stated that the results improved voltage profile and reduce losses and reduce congestion in the network lines shows.
机译:DG工厂在靠近客户的地区的发电能力为几千瓦至10兆瓦,可用于各种太阳能电池,燃料电池,微型涡轮机和风电场等。如果连接了这些发电厂对于网络而言,网络具有不同的影响,包括减少损耗,改善电压分布并增加可靠性[1],[2]。分布式发电厂的总数,装机容量以及确定最大损耗和减少损耗的方法考虑到问题产生的约束,本文将遗传算法用于优化问题。在提取分布式发电站最佳布局的方法流程图后,开发了计算机程序并在网络上实现了该程序,已实现IEEE总线33,该程序实现了多少次,其优缺点相互比较,并作了说明结果表明,电压曲线得到改善,并减少了损耗并减少了网络线路的拥塞。

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