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首页> 外文期刊>Electric Power Components and Systems >Modified Spider Monkey Optimization-Based Optimal Placement of Distributed Generators in Radial Distribution System for Voltage Security Improvement
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Modified Spider Monkey Optimization-Based Optimal Placement of Distributed Generators in Radial Distribution System for Voltage Security Improvement

机译：基于蜘蛛猴优化的基于蜘蛛猴优化的分布式发电机径向分布系统，用于电压安全改进

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摘要

Due to increase in load demand the use of distributed generation has been increased in the distribution system. Voltage profile as well as voltage security state of the distribution system can be improved by incorporating Distributed Generator (DG) of particular sizes at specific locations. In this article, modified spider monkey optimization (MSMO) technique has been proposed for finding out the optimal size and location of DGs to improve stability of the network. This method is a modification of recently developed swarm intelligent technique called spider monkey optimization (SMO) technique. Here minimization of voltage deviation is considered as objective function. The performance of MSMO technique has been tested on IEEE 33 bus, IEEE 69 bus, and Indian 85 bus practical radial distribution system. The results obtained by MSMO-based technique are compared with the results of other existing methods, which show that MSMO algorithm outperforms other standard optimization techniques in terms of voltage profile improvement of the system which proves the efficiency of the proposed method. MSMO-based DG insertion also enhances voltage security state of the system.
机译：由于负荷需求的增加，分布系统的使用已经增加了分布式的发电。通过在特定位置结合特定尺寸的分布式发电机（DG），可以改善分配系统的电压曲线以及电压安全状态。在本文中，已经提出了修改的蜘蛛猴优化（MSMO）技术，用于找出DGS的最佳大小和位置，以提高网络的稳定性。该方法是最近开发的跨摩尔智能技术的修改，称为Spider Monkey优化（SMO）技术。这里最小化电压偏差被认为是目标函数。 MSMO技术的性能已经在IEEE 33总线，IEEE 69总线和印度85母总线实际径向分布系统上进行了测试。将基于MSMO的技术获得的结果与其他现有方法的结果进行了比较，其示出了MSMO算法在妨碍了所提出的方法的效率方面的电压轮廓改善方面的其他标准优化技术。基于MSMO的DG插入也增强了系统的电压安全状态。

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