Climate-Multi-Criteria Optimization of the Reliability and Maintainability of a Distribution System by MARKOV Chains and Elitist Genetic Algorithms

Abstract:

The reliability of the distribution networks has been threatened by the disturbances which have occurred on the said networks and which have led to supply interruptions to customers. From the analysis of the faults that have occurred on these networks, it emerged that the most recurring disturbances are faults originating from external causes (atmospheric overvoltages, violent winds) and which represent 90% of the causes, transient faults (70%) and broken conductors (40%). The study of the reliability indices showed that the most disturbed departures are the MV departures from Ouidah, ITTA, Calavi and Togba whose SAIDIs are respectively 15.64; 13.9; 10.05; and 8.52. The optimization of the maintenance plan by genetic algorithms of the NSGA II type made it possible to identify the number of inspections which is 5 days and 11 days respectively during the rainy season and the dry season. The inter-inspection period related to these inspection periods is (21 days). This study led to the proposal of an optimal plan taking into account climatological criticalities and the aim of which is to reduce these disturbances which are more untimely in the rainy season. The resolution of the reliability problem by genetic algorithms of the NSGA-II type made it possible to deduce that the undistributed energies are reduced by 92.22% on the departure of Togba, 93.43% on the departure of ITTA and 95, 54% on departure from Ouidah. This energy could have brought Beninese Electricity Company (SBEE) a sum of nine hundred fifty-one million eighty-four thousand two hundred and fifty CFA francs (951,084,250 FCFA) on only three MV departures. This optimization denotes the technical and financial interest of SBEE by focusing more on strategies for reducing disruptions on its networks while giving priority to the rehabilitations, effectiveness and efficiency of its maintenance plans. The methodology used is efficient and effective and can allow SBEE to make substantial savings which will enable it to make a reinvestment in its distribution networks.

• Periodical: Advanced Engineering Forum (Volume 54)
• Pages: 161-178
• DOI: https://doi.org/10.4028/p-QSkr8d
• Online since: January 2025
• Authors: Arouna Oloulade, Agbokpanzo Richard Gilles, Hassane Ousseyni Ibrahim*, Agbomahena Marcaire, Adolphe Moukengue Imano, Montcho Arnaud Sèminvo, Vianou Antoine
• Keywords: Availability, Distribution Network, Genetic Algorithm, NSGA-II, Optimization, Reliability

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