An innovative methodology for managing repairs in distribution networks and power supply systems for oilfield facilities is proposed in this paper. The methodology makes it possible to select optimal solutions in accordance with the priority management goal by formalizing a risk-based model for planning maintenance and repair (M&R) of electrical equipment with a "condition-based maintenance" strategy. One of the main options in the complex of M&R management tasks is an adaptive model of the technological map for the repairs of power facilities, formed in compliance with a number of key principles. The developed model allows you to optimize the volume and complexity of repairs of electrical equipment of a certain type based on the minimum composition of technological operations necessary to eliminate the identified defects. Detection of defects in electrical equipment is achieved by using methods of technical diagnostics and non-destructive testing. In this case, each of the defects is recorded in the defect statement for the object, with the determination of the degree of criticality and fixing a specific type of corrective action. Optimal prioritization of electrical equipment repairs is performed in accordance with the minimum risk function under current restrictions on reliability (an equipment technical condition index) and available resources (total maintenance costs). The originality of the implementation of a key risk event – a power supply failure of an oilfield facility provides calculating the probability and severity of the consequences of an electrical equipment failure taking into account its technical condition and features of the power supply scheme. The given example illustrates the effectiveness of the proposed approach and emphasizes the validity of optimal decisions. The key components of the developed methodology have found practical application in the conditions of real operation of the equipment of oilfield facilities.

PURPOSE. To consider aspects of solving the complex problem of reasonable choice and assignment of the repair management strategy for the equipment of power supply systems of oil production consumers according to the actual technical condition. To form a methodology for assessing the comparative effectiveness of repair management strategies: «By frequency, running hours» and «By technical condition». To verify the performance of the integrated methodology. Justify and demonstrate the effectiveness of the repair management strategy: «By technical condition» of the equipment on the real example of the typical scheme of the electrical supply system of oil fields.METHODS. In solving the problems set: the method of block diagrams for calculating the structural reliability of electric distribution network, including the probabilities of power supply failure in the circuit of each technological consumer, taking into account the possibility of redundancy and imposing an emergency restoration of the main element on the planned repair of the reserve, the method of hierarchy analysis for integral assessment of the actual technical condition of electrical equipment 6 (10) kV, method of calculating the mathematical expectation of damage from technological losses of oil production to assess the severity of the consequences of disruption of electricity supply to consumers of oil production, the method of expert decisions to adjust the regulatory periodicity and frequency of scheduled repairs of equipment, depending on the actual value of technical condition index.RESULTS. The relevance of the research direction is substantiated. Computational methodology of comprehensive assessment of comparative efficiency of equipment repair management strategies in oilfield power supply system «By frequency, running hours» and «By technical condition» to justify the priority of one of them has been formed. On a concrete computational example the preference of strategy choice «By technical condition» is proved as applied to the equipment of 6(10) kV power supply systems of oil fields.CONCLUSION. The developed methodology and its validation on the example of a real power supply system allows to substantiate and illustrate the effectiveness of the strategy «By technical condition» in comparison with the strategy: «By frequency, running hours» in relation to the management of repairs of oil production facilities.

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Scheduled operation of power grid facilities is regulated by the relevant regulations based on a system of scheduled preventive maintenance. Maintenance and repair (M&R) of power grid facilities due to their technical condition increases demands for planning methods and models. In these conditions, the goals of the M&R management are aimed at improving the efficiency of the operation of electrical networks. They differ depending on the purpose and form of ownership of the latter. The article suggests a combined approach to planning maintenance of electrical networks using strategy depending on their technical condition based on optimization of impact parameters such as frequency and labor intensity under specified constraints and variability of management goals. To implement the proposed planning procedure, the authors developed and verified models of process maps. Each of them represents a local database including the information about the composition and complexity of operations, depending on the type of equipment and the type of corrective actions. In addition, a set of operational algorithms, that solve the issues of process automation in the maintenance system of electrical network equipment, has been developed. The analysis and discussion of the developed models and algorithms are carried out on a specific example illustrating the possibilities of improving the efficiency of equipment operation in the electrical networks on the oil fields.

THE GOAL. To develop a decision-making procedure for the commissioning of equipment in the power supply system of oil production facilities in accordance with the minimum risk criterion. To substantiate the effectiveness of its practical application in the tasks of equipment repair management with the "technical condition" strategy based on a risk-oriented approach.METHODS. When solving the tasks, the following methods were used: the flowchart method for calculating the structural reliability indicators of the distribution electrical network with changes in its operational composition and technical condition of elements (equipment), the method for predicting the risks of power supply disruption in the circuit of each technological consumer, taking into account the possibility of reserving and imposing emergency recovery of the main element on the planned repair of the backup, scenario approach for determining scenarios for changing the risk of power supply failures when the operating state of the electrical network circuit changes.RESULTS. As a result of solving the problems, the values of the structural reliability indicators of the studied distribution electrical network are calculated under the most likely scenarios of changes in its operational composition and technical condition of equipment, the features of the integrated assessment of the technical condition of objects of voltage class 6 kV in their operating conditions are considered. The functions of forecasting the probabilities of power supply failures of oil production facilities are obtained depending on the integral assessment of their technical condition, which, along with the severity of the consequences of failures, make it possible to predict risks.CONCLUSION. A computational procedure has been developed that includes mathematical models and an algorithm for prioritizing equipment with a strategy "according to technical condition" when putting it into repair based on a forecast of the risks of power supply disruption to consumers. On a concrete example, the verification of calculation models and algorithm was carried out, the effectiveness of the developed computational procedure and its applicability in solving practical problems of managing repairs of electrical equipment of oil production facilities based on a risk-oriented approach was shown.