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A teaching learning based optimization technique for optimal location and size of DG in distribution network

机译:基于教学学习的配电网分布式发电最佳位置和大小的优化技术

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DGs are placed for the purpose of real power loss minimization and voltage improvement in distribution network system. This paper presents a recent optimization technique, i.e. teaching learning based optimization (TLBO) technique for finding the optimal size and location of Distributed generation (DG) in radial distribution system (RDS). The optimal location and size of DG is analyzed considering voltage stability index as an objective function. The superiority of the proposed approach has been shown by comparing the results with GA and PSO methods in RDS. The comparison is done using system performances such as the real power loss and voltage profile of RDS. In this paper, performance analysis is carried out considering IEEE 33 bus and 69 buses as the test system.
机译:DG的放置是为了最大程度地减少配电网络系统中的实际功率损耗并改善电压。本文介绍了一种最新的优化技术,即基于教学学习的优化(TLBO)技术,用于在径向分布系统(RDS)中找到分布式发电(DG)的最佳大小和位置。以电压稳定度指标为目标函数,分析了DG的最优位置和大小。通过将结果与RDS中的GA和PSO方法进行比较,表明了该方法的优越性。使用系统性能(例如RDS的实际功率损耗和电压曲线)进行比较。在本文中,以IEEE 33总线和69总线为测试系统进行了性能分析。

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