利用Jaya-Red Deer混合优化器对DISCO的损失减排经济效益进行分布式发电的优化配置。

G V Naga Lakshmi, A Jayalaxmi, Venkataramana Veeramsetty
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引用次数: 1

摘要

为了保证配电网的平稳运行,分布式发电的最优选址是配电企业面临的一个重要挑战。DG机组的最优配置是一个优化挑战,其目标函数是通过减少电网中的有功功率损耗和排放来最大化配电公司的经济效益。母线电压限制和馈线热限制被认为是约束条件。为了克服将解向局部最优点困住的问题,实现较强的局部和全局搜索能力,本文提出了一种新的混合Jaya-Red Deer优化器,作为确定分布式发电机组最佳布局和规模的优化方法。在MATLAB环境下,在ieee15和pg&e69总线配电系统上实现了该方法,并使用Red Deer Optimization、Dragonfly Algorithm、Genetic Algorithm、Particle Swarm Optimization、Jaya Algorithm和Black Widow Optimizer进行了验证。基于模拟结果,分销公司可以通过适当的DG单元定位和规模来运营其网络,从而获得最大的财务优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Optimal placement of distributed generation based on DISCO's financial benefit with loss and emission reduction using hybrid Jaya-Red Deer optimizer.

Optimal placement of distributed generation based on DISCO's financial benefit with loss and emission reduction using hybrid Jaya-Red Deer optimizer.

Optimal placement of distributed generation based on DISCO's financial benefit with loss and emission reduction using hybrid Jaya-Red Deer optimizer.

Optimal placement of distributed generation based on DISCO's financial benefit with loss and emission reduction using hybrid Jaya-Red Deer optimizer.

The optimal location of distributed generation (DG) is a critical challenge for distribution firms in order to keep the distribution network running smoothly. The optimal placement of DG units is an optimization challenge in which the objective function is to maximize distribution firms' financial benefit owing to reduced active power losses and emissions in the network. Bus voltage limits and feeder thermal limits are considered as constraints. To overcome the problem of trapping the solution toward the local optimal point and to achieve strong local and global searching capabilities, a new hybrid Jaya-Red Deer optimizer is proposed as an optimization approach in this study to determine the best placement and size of distributed generating units. In the MATLAB environment, the suggested method is implemented on IEEE 15 and PG & E 69 bus distribution systems and validated with Red Deer Optimizer, Dragonfly Algorithm, Genetic Algorithm, Particle Swarm Optimization, Jaya Algorithm and Black Widow Optimizer. Based on the simulation results, distribution firms may operate their networks with the greatest financial advantage by properly positioning and sizing their DG units.

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