自然序下具权重信息电力系统状态空间的结构性质
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国家自然科学基金面上项目(No.12271071)


Structural Properties of State Space of Power Systems with Weighted Information in Natural Order
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    摘要:

    针对大规模电力系统状态的物理特性和数学表征进行刻画,介绍了电力系统中n维离散状态空间的概念,通过引入电力系统元器件权重信息,刻画元器件在电力系统中的重要性和影响力,给出自然序下电力系统状态空间的结构性质。格是一种特殊的偏序集,利用自然锥〖WTHZ〗R〖WTBX〗n+诱导出的自然序,结合电力系统的结构特性,探究电力系统状态空间的偏序特征和格理论性质。对于几类经典电力系统的结构函数性质进行研究,应用于判断电力系统具体情况和描述系统故障程度,并以2/3(G)系统为例对结构函数进行具体的解释说明。所探究的性质结果为电力系统状态空间多目标优化性质研究提供了基础理论和方法支撑,对于设计电力系统高效算法至关重要。

    Abstract:

    This paper describes the physical characteristics and mathematical representations of large-scale power system states, introduces the concept of dimensional discrete state space in power system, describes the importance and influence of power system components in power system by introducing the weight information of power system components, and gives the structural properties of power system state space under natural order. Using the natural order induced by natural cone, combined with the structural characteristics of power system, the characteristics of partial order and lattice theory were explored. The structural function properties of several types of classical power systems were studied to judge the specific situation of power systems and describe the degree of system failure, and the structural function was explained in detail by taking the system as an example. The properties studied provide basic theoretical and methodological support for the research of multi-objective optimization properties of power system state space, which is crucial for the design of efficient algorithms for power system.

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刘朗亭,刘美含,刘学文.自然序下具权重信息电力系统状态空间的结构性质[J].重庆师范大学学报自然科学版,2025,42(5):42-50

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  • 在线发布日期: 2025-12-16