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A Study on Outlet Schemes of Indoor Substation based on AGA-AHP Algorithms

机译:基于AGA-AHP算法的室内变电站出口方案研究

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With the limited urban land resources and people's high demand for living environment, the construction of urban substation is being increasingly denser and miniaturized indoor substation is being widely used. The outlet of substation is closely related to land area, so this paper proposes a new outlet scheme named positive and negative triangle outlet, based on common ways of outlet, to reduce the land area of substation. In order to compare the advantages of this outlet scheme with that of other outlet schemes under different indicators, AGA-AHP (Accelerating Genetic Algorithm Analytic Hierarchy Process) are used to perform quantitative evaluation for weight of various outlet schemes in electricity environmental protection, difficulty of installation, operation and maintenance, distribution cost, and land area, as well as its sub-indicators, and determine the optimal outlet scheme that meets the requirements. According to the actual situation of the project, outlet model of indoor substation is built by AGA-AHP algorithms, and judgment matrix is established by related experts. The algorithms can realize the quantification of qualitative indicators and the output of the optimal outlet scheme, so as to provide some reference to the construction of substation.
机译:随着城市土地资源有限的有限,人们对生活环境的高需求,城市变电站的建设越来越密集,小型化室内变电站被广泛使用。变电站的出口与土地面积密切相关,因此本文提出了一种基于常见出口方式命名为正和负三角出口的新出口方案,以减少变电站的陆地面积。为了将该出口方案的优点与不同指标下的其他出口方案进行比较,AGA-AHP(加速遗传算法分析层次处理)用于对电力环境保护中的各种出口方案的重量进行定量评估,安装,操作和维护,分配成本和土地面积以及其子指示器,并确定满足要求的最佳出口方案。根据该项目的实际情况,室内变电站的出口模型由AGA-AHP算法构建,判断矩阵由相关专家建立。该算法可以实现定性指示器的量化和最佳出口方案的输出,从而提供对变电站构造的一些参考。

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