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Optimal DG placement and capacity allocation using intelligent algorithms

机译:使用智能算法优化DG的放置和容量分配

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Now a Day, using distributed generators (DGs) as power generator resources in Distribution Networks, is growing increasingly. DG installation will cause many advantages such as power loss reduction, increasing reliability, improving voltage profile, power quality and etc. Therefore, proposing an optimal pattern for installing DGs, attracts lots of attention these days. This paper proposes an optimal DGs' placement for Sirou-Feeder in Qom's distribution substation. The problem is considered from the viewpoint of supplier company which itself is both investor and installer of DGs and consequently, both economical and marketing constraints should be considered beside technical constraints. A multi-objective cost function will be defined to reach all objectives, means optimal placement and power allocation of DGs, loss reduction, voltage profile improvement, reliability increase and decreasing DGs' installation costs. Three intelligent algorithms, PSO, GA and GSA, are examined here. The simulation results indicate efficiency of applied methods in solution finding and dominancy of GSA over PSO and GA in optimal placement.
机译:如今,使用分布式发电机(DG)作为配电网络中的发电机资源的一天日益增长。 DG的安装将带来许多优点,例如降低功耗,提高可靠性,改善电压曲线,提高电能质量等。因此,提出一种安装DG的最佳方式引起了当今的广泛关注。本文提出了库姆配电变电站中Sirou-Feeder的最佳DG布置。从供应商公司的角度考虑该问题,而供应商公司本身既是危险品的投资者,又是危险品的安装者,因此,除了技术方面的限制外,还应同时考虑经济和市场方面的限制。将定义一个多目标成本函数以实现所有目标,这意味着DG的最佳放置和功率分配,损耗的减少,电压曲线的改善,可靠性的提高以及DG的安装成本的降低。这里检查了三种智能算法PSO,GA和GSA。仿真结果表明,在最优布局中,所应用方法在求解GSA方面的效率以及GSA优于PSO和GA的优势。

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