Optimal Location of Reclosers in Electrical Distribution Systems Considering Multicriteria Decision Through the Generation of Scenarios Using the Montecarlo Method

This work presents a novel methodology for the optimal location of reclosers in electric distribution systems. The proposal uses multicriteria analysis to evaluate reliability indicators this level 3 (distribution) by generating scenarios from pseudo-random variables. considered study are System Average Interruption Frequency Index (SAIFI), Duration (SAIDI), Customer (CAIDI), and Energy Not Supplied (AENS). It is employed deterministic random generation defined range associated with each variable (failure rate elements loads, failure duration, number customers per load point, mean power consumed at etc.) (criteria) calculated every possible recloser candidate primary sections, thus obtaining decision matrix, normalized weighted CRITIC method find according minimum criterion. repeated N times through using Montecarlo method, establishing probability occurrence winning alternative choosing final first within system. also proposes switching coordination repeating previously described locating second considering that was already “many” scenarios. scope proposed it desired analyze cost constraints general any carried out comprehensive programming Matlab software environment. results successfully respond maneuver tests joint criterion minimizing all (distribution). With proposal, knowledge gaps studies solved. absence data completed generations variables, responds criteria weighting alternatives. validated an exhaustive search where single or multiple reconnection analyzed. found coincides one determined more than 90% generated