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首页> 外文期刊>Journal of Optimization in Industrial Engineering >A New Optimization Algorithm for Optimal Wind Turbine Location Problem in Constantine City Electric Distribution Network Based Active Power Loss Reduction
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A New Optimization Algorithm for Optimal Wind Turbine Location Problem in Constantine City Electric Distribution Network Based Active Power Loss Reduction

机译：基于康纳城电力分配网络的最优风力涡轮机定位问题的新优化算法

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摘要

The wind turbine has grown out to be one of the most common Renewable Energy Sources (RES) around the world in recent years. This study was intended to position the Wind Turbine (WT) on a wind farm to achieve the highest performance possible in Electric Distribution Network (EDN). In this paper a new optimization algorithm namely Salp Swarm Algorithm (SSA) is applied to solve the problem of optimal integration of Distributed Generation (DG) based WT (location and sizing) in EDN. The proposed algorithm is applied on practical Algerian EDN in Constantine city 73-bus in presence single and multiple WT-DGs for reducing the total active power loss. The validity of the proposed algorithm is demonstrated by comparing the obtained results with those reported in literature using other optimization algorithms. A numerical simulation including comparative studies was presented to demonstrate the performance and applicability of the proposed algorithm.
机译：近年来，风力涡轮机已经发展成为世界各地最常见的可再生能源（RES）之一。本研究旨在将风力涡轮机（WT）定位在风电场上，以实现电力电路（EDN）中的最高性能。在本文中，新的优化算法即SALP群算法（SSA）用于解决EDN中基于WT（位置和尺寸）的分布式生成（DG）的最佳集成问题。该算法应用于康斯坦丁城市73总线中的实用阿尔及利亚EDN，在存在单一和多个WT-DG中，用于降低总有效功率损耗。通过使用其他优化算法将获得的结果与文献报告的那些进行比较来证明所提出的算法的有效性。提出了一种数值模拟，包括比较研究以证明所提出的算法的性能和适用性。

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