具状态属性向量集的标量化方法与缩减性质
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国家重点研发计划项目(No.2023YFA1011302);国家自然科学基金——重大项目(No.11991024),面上项目 (No.12171063);重庆市高校创新研究群体(No.CXQT20014);重庆英才计划创新领军人才项目(No.cstc2022ycjh-bgzxm0114)


Scalarization Methods and Reduction Properties of Vector Sets with State Attributes
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    摘要:

    标量化方法是处理多目标优化问题的基本方法之一。考虑状态变量和状态向量均为具正常或故障属性的一类特殊向量集,首先引入标志性函数对向量集中的状态向量进行标量化,引入故障临界参数对状态向量的状态属性进行近似刻画。进一步, 在状态向量的状态变量按故障概率的一定排序下研究了具状态属性向量集的缩减性质,并提出了基于标量化方法的向量集缩减算法。最后,以电力系统可靠性领域中的RBTS系统为例进行了数值实验。实验结果表明:提出的方法在恰当的故障临界参数下,可对具状态属性向量集进行有效缩减。

    Abstract:

    Scalarization methods are among the basic approaches for dealing with multi-objective optimization problems. A class of special vector sets is considered, in which both the state variables and state vectors have availability or failure attribute. Firstly, the characteristic function is introduced to carry out scalarization processing on the state vectors in the vector sets, and the critical failure parameter is introduced to approximately characterize the state attributes of the state vectors. Further, under a certain ordering of the state variables of the state vectors according to the failure probability, the reduction properties of the vector sets with state attributes are studied and a reduction algorithm for the vector sets is proposed by means of the scalarization method. Finally, numerical experiments are carried out by taking the RBTS system in the field of power system reliability as an example. The experimental results show that under the appropriate critical failure parameter, the method proposed has a very good reduction effect on the vector sets with state attributes.

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刘宏升,夏远梅,赵克全.具状态属性向量集的标量化方法与缩减性质[J].重庆师范大学学报自然科学版,2025,42(2):78-87

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  • 在线发布日期: 2025-06-06