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首页> 外文期刊>Journal of Electrical and Electronic Engineering >Optimal Location and Sizing of Distributed Generation for Minimizing Power Loss Using Simulated Annealing Algorithm
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Optimal Location and Sizing of Distributed Generation for Minimizing Power Loss Using Simulated Annealing Algorithm

机译:使用模拟退火算法的最佳位置和分布式发电规模,以最大程度地降低功率损耗

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Distributed Generation integration in electric power system is one of the options which give many benefits such that loss Reduction, peak saving, voltage profile improvement, stability and reliability improvement. The installation of DG units at non-optimal location can result in an increase in system losses, damaging voltage state. In this paper, simulated annealing Algorithm (SAA) techniqueis designed for optimally determining the location, sizing and numbers of distributed generations depending on power loss reduction and voltage profile improvement. The proposed technique is tested on IEEE 57-bus system to demonstrate the performance of the network after inserting the distributed generation in selected optimal location with optimal sizing. Results show the efficiency of the proposed algorithm in reducing power losses, improving voltage profile.
机译:电力系统中的分布式发电集成是提供许多好处的选项之一,例如减少损耗,节省峰值,改善电压曲线,提高稳定性和可靠性。将DG设备安装在非最佳位置会导致系统损耗增加,损坏电压状态。本文设计了模拟退火算法(SAA)技术,以根据功率损耗的减少和电压曲线的改善来最佳地确定分布式发电的位置,规模和数量。将该技术在IEEE 57总线系统上进行了测试,以证明在将分布式发电以最佳大小插入选定的最佳位置后,网络的性能。结果表明,所提算法在减少功率损耗,改善电压分布方面的效率。

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