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Butterfly optimizer-assisted optimal integration of REDG units in hybrid AC/DC distribution micro-grids based on minimum operational area

机译:蝴蝶优化器基于最小运营区域的混合动力AC / DC分布微电网的Redg单元的辅助整合

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This paper presents the impact of optimal location and sizing of renewable and non-renewable-based distributed generators in the AC/DC micro-grid system using the latest optimizer called butterfly optimization algorithm with an aim to minimize power loss. Generally, hybrid AC/DC micro-grids systems are modeled by separating AC and DC feeders with the help of high-power converters (HPC).AC grids sustained by substation and DC grids are maintained by their individual DG units. While planning of DGs in the hybrid AC/DC systems, the power loss incurred by HPCs is not considered avoiding complexity by many authors. In this paper, the sizing of DGs is determined by the operational area required by the type of DG technology as one variable and all possible candidate buses in the respective zones of AC/DC micro-grid system are another variable with due consideration of HPC losses in AC/DC micro-grid system. A hybrid AC/DC MG system is developed by classifying the existing benchmark 33-bus and 69-bus radial distribution systems into various AC/DC zones. To evaluate the proposed approach, it is implemented on aforementioned micro-grid systems and the obtained results are verified with other existing approaches in the literature. The results proved that the proposed approach is better than the other approaches in technical aspects.
机译:本文采用最新优化器称为蝶形优化算法的最佳优化器,旨在最小化功率损耗的最佳优化器在AC / DC微电网系统中的最佳位置和尺寸的影响。通常,混合AC / DC微电网系统是通过在高功率转换器(HPC)的帮助下通过分离AC和DC馈线来建模的.CAC由变电站和DC网格维持的网格由其各个DG单元维护。虽然在混合动力AC / DC系统中规划DGS,但HPC产生的功率损失不被认为是许多作者的复杂性。在本文中,DGS的尺寸由DG技术类型所需的操作区域作为一个变量和AC / DC微电网系统的各个区域中的所有可能的候选总线是另一个变量,同时考虑HPC损耗在AC / DC微网格系统中。通过将现有的基准33-总线和69母线径向分配系统分类为各种AC / DC区,开发了混合AC / DC MG系统。为了评估所提出的方法,它在上述微电网系统上实施,并通过文献中的其他现有方法验证了所得结果。结果证明,拟议的方法优于其他技术方面的方法。

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