基于关联集分解的系统状态检修决策模型

XU Bo

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基于关联集分解的系统状态检修决策模型

更新时间：2025-08-13

- 基于关联集分解的系统状态检修决策模型
- Automation of Electric Power Systems Vol. 39, Issue 2, Pages: 46-52(2015)
- 作者机构：
  
  电网智能化调度与控制教育部重点实验室山东大学,山东省,济南市,250061
- 作者简介：
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- Published：2015
- 稿件说明：
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XU Bo. [J]. Automation of electric power systems, 2015, 39(2): 46-52.
DOI：

XU Bo. [J]. Automation of electric power systems, 2015, 39(2): 46-52. DOI：

摘要

状态检修背景下，为有机统筹系统设备间的功能关联性，提出基于关联集分解的系统状态检修的数学模型。该模型在设备状态变化规律已知的前提下，从设备间功能关联出发，给出关联集的概念，研究周期内，以关联集为基本单元进行检修决策。然后，借鉴机会维修的思想，给出关联集加入检修计划以后状态概率的求解方法。从而在此基础上，对由设备检修时机变动而引起的设备个体损失和系统运行风险进行量化。最后，以二者之和最小为目标，计及系统状态检修的约束条件，建立系统状态检修的数学模型，针对该模型采用遗传算法求解。通过算例对所提出模型的可行性和有效性进行了验证。

Abstract

In the context of condition-based maintenance，a condition-based maintenance decision-making model for power system is proposed based on association sets decomposition to coordinate functional dependence among different equipments.To investigate the functional dependence，the definition of equipment association sets is given.With the help of the equipment condition monitoring and prediction system，the instantaneous availability function of equipment association sets is deduced by considering scheduled maintenance and opportunistic maintenance in the preceding period.Furthermore，the quantitative expression of expected cost of equipment and system operation risk are provided.Then the system maintenance model is developed，with the minimized expected cost of equipment and system operation risk as the objective while taking maintenance constraints into account.The genetic algorithm is used to solve the model.Test results show the feasibility and validity of the proposed model.

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