MULTI-CRITERIA ANALYSIS FOR ESTABLISHING AUTOMATIC PRIORITY LEVELS FOR MAINTENANCE ACTIVITIES IN DISTRIBUTION SYSTEMS USING FUZZY TECHNIQUES

Problems of maintenance planning can have several aspects to be considered involving characteristics such as characteristics technical, financial and operational, which cannot be evenly attended because of their different natures. The proposal of this paper is the use of a decision making multicriterial method for decision making, with the help of fuzzy techniques in the identification of feeder priority for maintenance accomplishment. The objective is to promote a hierarchization of several feeders in function of their urgency in receiving maintenance services, considering criteria of several natures, either quantitative or qualitative. The fuzzy technique is used in the translation of linguistic values to numeric values, both in quantitative and qualitative analysis. For the mathematical modeling of the qualitative characteristics is used the algorithm of Bellman-Zadeh, that estimates in quantitative terms the qualitative characteristics, starting from specialists' estimates. The purpose allows reunion of all formal information with the knowledge and experience of specialists from concessionaries to adjust a tool accordingly their interests, and moreover to take in consideration the real conditions of operation of electric distribution networks. The results presented in this paper and the elaborated program constituted parts of a research and development project of the State Company of Electric Energy (CEEE) executed by the Federal University of Santa Maria (UFSM).