Abstract
Maintenance and repair (M&R) of electric network equipment is one of the crucial methods for reliable power supplying. For implementing the condition based maintenance strategy is necessary to solve a number of problems, including prioritizing of preventive measures order and determining optimal time of their periodic. This paper points out two specific aspects: 1) development of an adequate reliability simulation model to optimize the operational factors of electric network equipment; 2) advantages of the proposed M&R optimization methodology in the operational process of real distribution system. Developed probabilistic mathematical model of M&R allows determining criteria for obtaining the optimal solution according to the results of numerical calculations procedures. Described mathematical model is based on the theory of controlled Markov processes. This mathematical method allows describing “ageing” systems. The main advantages of the model are the possibility of considering all random processes for described type of equipment and obtaining the analytical solutions for basic reliability and economical indexes. Based on this, the criterions and strategy for choosing an optimal time intervals of M&R procedures have been formed. Improving the efficiency of M&R of electrical equipment is considered on a real distribution network.
Highlights
A problem of distribution power networks 6-35 kV reliability is relevant and attracts special attention of scientists and engineers
The lower observing of this voltage class distribution networks, periodic diagnostic, increased wear and tear of power equipment (PE) and limited recourses for its modernization are leading to improving the methods and decision-making criterions for the effective management of power equipment maintenance and repair
The research objective is to develop the methodology of M&R optimization and obtain mathematical models that are correct to the studied processes of power equipment operation
Summary
A problem of distribution power networks 6-35 kV reliability is relevant and attracts special attention of scientists and engineers. There are a number of objective reasons for this. The lower observing of this voltage class distribution networks, periodic diagnostic, increased wear and tear of power equipment (PE) and limited recourses for its modernization are leading to improving the methods and decision-making criterions for the effective management of power equipment maintenance and repair. Described reasons lead to create new correct strategy of scheduling the restoring power equipment reliability procedures and get the optimal technical and management solutions. The research objective is to develop the methodology of M&R optimization and obtain mathematical models that are correct to the studied processes of power equipment operation
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