Abstract
The problem analysed in the article concerns the designation of substitute post breakdown configurations of electric power distribution networks, enabling restoration of electric power delivery to the greatest possible numbers of network reception nodes. The drawn up method concerns the problem of multi-criteria optimisation. In the method used to evaluate and optimise distribution network configurations, the co-evolutionary algorithm is used cooperating with classifier system with regard to variable coefficients of reliability during operation of network elements. An important trait of the proposed method is the possibility of formulating substitute network configurations with the use of information originating from simulated breakdown network statuses, with the specification of information that may be used on reliability parameter values, durations of exploitation of network elements etc.
Highlights
The duration of interruptions in the supply of electric power and the manner of elimination of interruptions and operation limitations is dependent on network system structure, system configuration and distribution appliances equipment and network automation enabling the performance of reserve connections [1, 3, 4, 5].The analysed problem consists of seeking substitute configurations of the electric power distribution network enabling the restoration of electric power supply, in the case of breakdown, the greatest number of network reception nodes
The drawn up method concerns the problem of multi-criteria optimisation using for assessment and optimisation of distribution network configurations level of reliability, the classifying system cooperating with the co-evolutionary algorithm with regard to network elements reliability coefficients that are variable during operation
As a solution to the task of designating the substitute network configuration of the analysed breakdown status, the best solution variants are accepted from 5 sub-populations, on which the co-evolutionary algorithm has been used
Summary
The duration of interruptions in the supply of electric power and the manner of elimination of interruptions and operation limitations is dependent on network system structure, system configuration and distribution appliances equipment and network automation enabling the performance of reserve connections [1, 3, 4, 5].The analysed problem consists of seeking substitute configurations of the electric power distribution network enabling the restoration of electric power supply, in the case of breakdown, the greatest number of network reception nodes. The virtue of application of evolutionary algorithms to the analysed problem is the possibility of their use with a large number of decision variables and complex description of objective function and limiting conditions. This type of method may be used for optimising the operation of electric power systems with a very large number of elements. The possibility exists of applying co-evolutionary algorithms to the analysed task, enabling solutions of multi-criteria tasks In this case the sought-after solution is a set of Pareto- optimal solutions
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