Optimal maintenance decision method of power transmission and transformation equipment based on Markov decision process

A technology of power transmission and transformation equipment and decision-making method, which is applied in the field of optimal maintenance and decision-making of power transmission and transformation equipment based on Markov decision process, and can solve problems such as difficult to solve, no distinction between major and minor repairs of equipment, and many model states.

Active Publication Date: 2017-02-22
ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER COMPANY +3
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Problems solved by technology

[0005] In the existing technology, the Markov decision based on the improved maintenance model is used to calculate the optimal maintenance decision, but the maintenance model does not include the inspection status, only considers the minimum maintenance method, and does not distinguish between major repairs and minor repairs of equipment
[0006] In the prior art, the influence of inspection and maintenance delay time on equipment aging is studied, and operators are given more flexibility by delaying the maintenance plan, but the model contains too many states and is difficult to solve

Method used

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  • Optimal maintenance decision method of power transmission and transformation equipment based on Markov decision process
  • Optimal maintenance decision method of power transmission and transformation equipment based on Markov decision process
  • Optimal maintenance decision method of power transmission and transformation equipment based on Markov decision process

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Embodiment Construction

[0064] The present invention is described in detail below in conjunction with accompanying drawing:

[0065] A Markov process in the discrete space D={0,1,2...} is defined as: at a given past state s 0 ,s 1 ,...,s n-1 and the current state s n , the future state s n+1 The conditional distribution of is independent of past states and only depends on the present state. That is, the probability of the system transitioning from state i to state j has nothing to do with the past state history of the system. Markov processes are memoryless. Its mathematical expression is as follows:

[0066]

[0067] define P{s n+1 =j|s n =i}=p ij (p ij ≥0) is the transition probability from state i to state j, and for

[0068] Randomize the Markov process continuously, and take the unit time t as any time t n+1 with the previous moment t n time interval. Transition probability λ ij is the expected number of transitions from state i to state j within unit time t. Then the first-...

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Abstract

The invention discloses an optimal maintenance decision method of power transmission and transformation equipment based on a Markov decision process. The method comprises that a state transfer relation diagram, of transfer relation among different states, of the power transmission and transformation equipment is established; a state maintenance model of the power transmission and transformation equipment is established according to the state transfer relation diagram of the power transmission and transformation equipment; the Markov decision process is used to solve the stable-state probabilities of different states of the power transmission and transformation equipment; a function relation between a maintenance strategy and pay corresponding to the maintenance strategy is established; a Markov based maintenance decision model of the power transmission and transformation equipment is established by taking maximization of certain function value of a pay sequence in the maintenance strategy as a sequence decision problem; and according to the stable-state probabilities of the different states of the power transmission and transformation equipment, a strategy iteration method is used to obtain an optimal maintenance strategy by solving. The method has the advantages that the Markov decision is used to make compromise between the maintenance cost and fault loss, the optimal maintenance decision is obtained, and reference is provided for maintenance deciding staff.

Description

technical field [0001] The invention belongs to the technical field of state monitoring and fault prediction of high-voltage power equipment, and in particular relates to an optimal maintenance decision method for power transmission and transformation equipment based on a Markov decision process. Background technique [0002] The safety of power transmission and transformation equipment is the basis for the stable operation of the power grid system. The reliability of a device gradually deteriorates the longer it operates. Scientific and reasonable maintenance arrangements for electrical equipment can save maintenance costs and ensure the safety and reliability of system operation. Therefore, the establishment of maintenance strategies has become an important topic of concern in the power industry. Condition-based maintenance is a new maintenance method that is different from traditional post-accident maintenance and regular preventive maintenance. It effectively avoids o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06G06F17/50
CPCG06Q10/0635G06Q10/06375G06Q50/06G06F30/20Y04S10/50
Inventor 杨祎张方正李红梅田兵李勇杜修明郭志红陈玉峰盛戈皞辜超周加斌郑建马艳林颖李程启耿玉杰白德盟朱文兵李秀卫侯慧娟贾京苇李明彭飞朱庆东师伟李娜
Owner ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER COMPANY
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