首页> 外文期刊>Research journal of applied science, engineering and technology >Application of Intelligent Algorithms for Optimal Distributed Generation Allocation to Voltage Profile Improvement and Line Losses Reduction
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Application of Intelligent Algorithms for Optimal Distributed Generation Allocation to Voltage Profile Improvement and Line Losses Reduction

机译:最优分布式发电智能算法在电压分布改善和线损减少中的应用

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摘要

Distributed Generation (DG) had created a challenge an opportunity for developing various novel technologies in power generation. The rate and of DG implementation have to be determined. The increasing need of electricity and establishing powerhouses, as well as spending a great amount of time to built powerhouses, indicate the necessity of distributed generation in small size and close to the consumer location. In this study selecting IEEE-14 bus systems, attempt to investigate the effect of distributed generation in line losses and voltage profile by using two optimization techniques. The introduction of PSO and CSA base DG in a distribution System offer several benefits: Significant voltage profile improvement, Considerable line loss reduction, improves system reliability and etc. The optimum value of DG, also obtained increasing the maximum load ability of the system. Finally the results are compared to a system with and without installation DGs.
机译:分布式发电(DG)给开发各种发电新技术带来了挑战。必须确定DG的实施速度和速度。电力和建立发电站的需求不断增长,以及花费大量时间建造发电站,这表明有必要在小规模且靠近消费者的地方进行分布式发电。在本研究中,选择IEEE-14总线系统,试图通过使用两种优化技术来研究分布式发电对线路损耗和电压分布的影响。在配电系统中引入PSO和CSA基础DG具有以下好处:显着改善电压曲线,显着降低线路损耗,提高系统可靠性等。DG的最佳值还获得了增加系统最大负载能力的目的。最后,将结果与有或没有安装DG的系统进行比较。

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