基于拉格朗日乘法器的配电网DG容量优化方法

K. Anuradha, U. Jayatunga
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引用次数: 0

摘要

分布式集成发电技术由于其与传统发电技术相比具有显著的优越性,在现代电力工程中引起了广泛的关注。然而,需要仔细考虑气候条件、土地和燃料可用性、DG位置和DG规模等几个方面,以利用将DG单元集成到电网中的最佳结果。其中,发电机组的规模问题尤为突出,因为它不仅影响到电网的运行,也影响到成本。优化用于给定网络的预期DG单元的尺寸将有助于获得预期的优点,例如最小化有功功率损耗和电压偏差,而不会造成任何稳定性、保护和电能质量问题。现有的确定最佳DG大小的方法相当复杂。本文提出了一种基于拉格朗日乘数法(LMM)的鲁棒数学求解方法,以确定最小有功功率损耗和电压偏差的最佳DG尺寸。该问题被表述为一个多目标函数并求解。采用IEEE-6和IEEE-33标准测试总线系统对所提出的数学求解策略进行了验证。结果证明了所提方法的有效性。
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Lagrange Multiplier Based Solution for Optimizing DG Sizes in Distribution Networks
Integration of Distributed Generation (DG) has occupied a great interest in modern power engineering due to its significant merits over the conventional power generation techniques. However, several aspects such as climatic conditions, land and fuel availability, DG location and DG size need to be carefully considered to harness the best results from integrating DG units for power networks. Among them, sizing of DG units has taken a prominent place as it affects the network operation as well as the cost aspect. Optimizing the sizes of prospective DG units that are intended to be integrated for a given network will facilitate in gaining the expected merits such as minimizing active power losses and voltage deviations without causing any stability, protection and power quality issue. The existing methodologies for determining optimal DG sizes are rather sophisticated. This paper presents a robust mathematical solving approach based on Lagrange Multiplier Method (LMM) for determining the optimal DG sizes for minimizing the active power losses and voltage deviations. The problem is formulated and solved as a multi objective function. Validation of the proposed mathematical solution strategy was tested using the IEEE-6 and IEEE-33 standard test bus systems. Results demonstrate the effectiveness of the proposed methodology.
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