|تعداد مشاهده مقاله||3,514,775|
|تعداد دریافت فایل اصل مقاله||2,327,298|
Co-Evolutionary Multi-Swarm PSO Based Optimal Placement of Miscellaneous DGs in a Real Electricity Grids Regarding Uncertainties
|Journal of Operation and Automation in Power Engineering|
|دوره 10، شماره 1، تیر 2022، صفحه 71-79 اصل مقاله (669.99 K)|
|نوع مقاله: Research paper|
|شناسه دیجیتال (DOI): 10.22098/joape.2022.8128.1562|
|G. Derakhshan* 1؛ H. Shahsavari2؛ A. Safari3|
|1Department of Electrical Engineering, Damavand Branch, Islamic Azad University, Tehran, Iran|
|2Department of Electrical Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran|
|3Department of Electrical Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran|
|Distributed generators (DGs) facilitate minimizing a monetary objective for controlling overload or low-voltage obstacles. In conjunction with controlling such complications, a DG unit can be allocated for maximum reliability or efficiency. This study presents a new method based on a new index for locating and sizing DGs in electricity distribution systems. Stable node voltages which are known as power stability index (PSI) are considered in developing the index. An analytical method is applied in visualizing the effect of DG on losses, voltage profile, and voltage stability of the system. In this study, a new approach using co-evolutionary multi-swarm particle swarm optimization (CMPSO) algorithm is purposed for locating DGs in radial electrical distribution systems considering the uncertainty of solar power as well as load and wind power. In this paper, the optimal locations and sizes of DG units are calculated by considering the active power loss, reliability index, and PSI as objective functions. The presented algorithm is tested on 33-bus and 274-bus real distribution networks. The results of the simulation show the effectiveness of the proposed method.|
|Distributed generators (DGs)؛ Co-evolutionary multi-swarm particle swarm optimization (CMPSO)؛ Uncertainty؛ Power stability index؛ Real distribution network|
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