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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线方案研究

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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:随着城市土地资源的匮乏和人们对居住环境的高要求,城市变电站的建设日益密集,小型化室内变电站得到了广泛的应用。变电站的出风口与土地面积密切相关,因此,本文基于通用的出线方式,提出了一种新的出风口方案,即正负三角形出风口,以减小变电站的占地面积。为了比较该出口方案与其他出口方案在不同指标下的优势,使用AGA-AHP(加速遗传算法分析层次结构)对电力环境保护中各种出口方案的权重进行定量评估,安装,运行和维护,分销成本,土地面积及其子指标,并确定满足要求的最佳出水口方案。根据项目的实际情况,采用AGA-AHP算法建立室内变电站的出风口模型,并由相关专家建立判断矩阵。该算法可以实现定性指标的量化和最优出口方案的输出,为变电站的建设提供参考。

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