山地变选址评价优化分析研究

Research on Conjoint Analysis of Substation Based on Gray Fuzzy Feature

针对山地变电站(山地变)选址评价优化方面,文章结合以往算法提出了模糊灰色分析法,首先利用特征值计算得到特征变量,并由特征变量可准确客观的计算得到分辨系数,充分考虑不同的地质环境中分辨系数的差异,使算法能灵活的调整数据模型的精度,最终得到更加符合环境标准的评价值。最后,应用于变电站选址,仿真算例分析结果表明,该算法切实可行,得到的评价值对变电站选址实际场景考虑得充分有效,具有更高的准确性和可靠性。

On fuzzy analytic hierarchy process（AHP） and grey correlation analysis method in substation site selection problems of distinguish coefficient accuracy is not high, puts forward the gray and fuzzy features joint analysis： using the characteristic values calculated characteristic variable, with characteristics of the variable can be objectively distinguish coefficient is calculated accurately, give full consideration to distinguish the difference of coefficient of different geological environment, the algorithm can flexibly adjust the accuracy of the data model, finally be more in line with the value of environmental standards. Consistency through the simulation experiment results show that the algorithm is the value of the grey-the result of fuzzy relation analysis is considered more fully, has higher accuracy and reliability, which illustrates the feasibility of the proposed algorithm has high.